DBMS > Aerospike vs. ArangoDB vs. GraphDB vs. Realm vs. ScyllaDB
System Properties Comparison Aerospike vs. ArangoDB vs. GraphDB vs. Realm vs. ScyllaDB
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Name | Aerospike previously called Citrusleaf Xexclude from comparison | ArangoDB Xexclude from comparison | GraphDB former name: OWLIM Xexclude from comparison | Realm Xexclude from comparison | ScyllaDB Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | Flash-optimized In-memory NoSQL Database | Native multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language. | Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL. | A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data | Cassandra and DynamoDB compatible wide column store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Document store Graph DBMS leveraging Apache Tinkerpop Key-value store Spatial DBMS | Document store Graph DBMS Key-value store Search engine | Graph DBMS RDF store | Document store | Wide column store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Key-value store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | aerospike.com | arangodb.com | www.ontotext.com | realm.io | www.scylladb.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | docs.aerospike.com | docs.arangodb.com | graphdb.ontotext.com/documentation | realm.io/docs | docs.scylladb.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Developer | Aerospike | ArangoDB Inc. | Ontotext | Realm, acquired by MongoDB in May 2019 | ScyllaDB | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2012 | 2012 | 2000 | 2014 | 2015 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 7.0, November 2023 | 3.11.5, November 2023 | 10.4, October 2023 | ScyllaDB Open Source 5.4.1, January 2024 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source Apache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition available | Open Source Apache Version 2; Commercial license (Enterprise) available | commercial Some plugins of GraphDB Workbench are open sourced | Open Source | Open Source Open Source (AGPL), commercial license available | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour. | Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementation language | C | C++ | Java | C++ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux | Linux OS X Windows | All OS with a Java VM Linux OS X Windows | Android Backend: server-less iOS Windows | Linux | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | schema-free automatically recognizes schema within a collection | schema-free and OWL/RDFS-schema support; RDF shapes | yes | schema-free | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | yes string, double, boolean, list, hash | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | no | no | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes | yes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes | yes | yes cluster global secondary indices | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | no | no | stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBC | no | SQL-like DML and DDL statements (CQL) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | JDBC Proprietary protocol TinkerPop Gremlin | AQL Foxx Framework Graph API (Gremlin) GraphQL query language HTTP API Java & SpringData JSON style queries VelocyPack/VelocyStream | GeoSPARQL GraphQL GraphQL Federation Java API JDBC RDF4J API RDFS RIO Sail API Sesame REST HTTP Protocol SPARQL 1.1 | Proprietary protocol (CQL) compatible with CQL (Cassandra Query Language, an SQL-like language) RESTful HTTP API (DynamoDB compatible) Thrift | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | .Net C C# C++ Erlang Go Java JavaScript (Node.js) Lua Perl PHP Python Ruby | C# C++ Clojure Elixir Go Java JavaScript (Node.js) PHP Python R Rust | .Net C# Clojure Java JavaScript (Node.js) PHP Python Ruby Scala | .Net Java with Android only Objective-C React Native Swift | For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | user defined functions with Lua | JavaScript | well-defined plugin interfaces; JavaScript server-side extensibility | no runs within the applications so server-side scripts are unnecessary | yes, Lua | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | no | no | no | yes Change Listeners | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Sharding | Sharding since version 2.0 | none | none | Sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | selectable replication factor | Source-replica replication with configurable replication factor | Multi-source replication | none | selectable replication factor Representation of geographical distribution of servers is possible | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | yes Aerospike Aggregation Framework is similar to Map/Reduce | no can be done with stored procedures in JavaScript | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configuration | Eventual Consistency configurable per collection or per write Immediate Consistency OneShard (highly available, fault-tolerant deployment mode with ACID semantics) | Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request) | Immediate Consistency | Eventual Consistency Tunable Consistency can be individually decided for each write operation | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | yes relationships in graphs | yes Constraint checking | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | Atomic execution of operations | ACID | ACID | ACID | no Atomicity and isolation are supported for single operations | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | yes In-Memory realm | yes in-memory tables | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Access rights for users and roles with Enterprise Edition only | yes | Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on. | yes | Access rights for users can be defined per object | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Aerospike previously called Citrusleaf | ArangoDB | GraphDB former name: OWLIM | Realm | ScyllaDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | Aerospike is an enterprise-class, NoSQL database solution delivering predictable... » more | Graph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading... » more | Ontotext GraphDB is a semantic database engine that allows organizations to build... » more | ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | Optimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically... » more | Consolidation: As a native multi-model database, can be used as a full blown document... » more | GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment... » more | Highly-performant (efficiently utilizes full resources of a node and network; millions... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typical application scenarios | Aerospike excels in mission-critical applications that have mixed read/write workloads... » more | Native multi-model in ArangoDB is being used for a broad range of projects across... » more | Metadata enrichment and management, linked data publishing, semantic inferencing... » more | ScyllaDB is ideal for applications that require high throughput and low latency at... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | Nielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services... » more | Cisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,... » more | GraphDB provides a platform for building next-generation AI and Knowledge Graph... » more | Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | Aerospike's combination of speed, scalability, and reliability delivers 10x performance... » more | ArangoDB is the leading native multi-model database with over 11,000 stargazers on... » more | GraphDB is the most utilized semantic triplestore for mission-critical enterprise... » more | ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | Subscription-based Enterprise Edition and free, open-source Community Edition » more | Very permissive Apache 2 License for Community Edition & commercial licenses are... » more | GraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition... » more | ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
News | Aerospike, AWS, Google, Glean, and other Industry Leaders Speaking at Real-time Data Summit 2024 Aerospike a Winner in 2024 Business Sustainability Awards New Aerospike Release Lets Enterprises Consolidate Expensive Legacy Cache And Database Platforms Aerospike Recognized by Independent Research Firm Among Notable Vendors in Vector Databases Report Aerospike Closes $109M in Growth Capital from Sumeru Equity Partners | Matching Skills and Candidates with Graph RAG A Triple Store RAG Retriever Integrating GraphDB with Relational Database Systems Understanding the Graph Center of Excellence Migrating From LPG to RDF Graph Model | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Aerospike previously called Citrusleaf | ArangoDB | GraphDB former name: OWLIM | Realm | ScyllaDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Evaluating Hbase and Aerospike Solutions for Real-time System of Record | The Weight of Relational Databases: Time for Multi-Model? | MySQL, PostgreSQL and Redis are the winners of the March ranking | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Recent citations in the news | Aerospike, AWS, Google, Glean, and Other Industry Leaders Speaking at Real-time Data Summit 2024 Aerospike to invest tens of millions in Israeli operations, double local workforce Aerospike In-Memory noSQL Database Powers Snapdeal Aerospike Raises $109M For Accelerated Database Development, Market Expansion Aerospike raises $109M for its real-time database platform to capitalize on the AI boom provided by Google News | ArangoGraphML: Simplifying the Power of Graph Machine Learning How to Build Knowledge Graph Enhanced Chatbot with ChatGPT and ArangoDB ArangoDB expands scope of graph database platform ArangoDB Announces Release of ArangoDB 3.11 for Search, Graph and Analytics - High-Performance Computing ... Graph, machine learning, hype, and beyond: ArangoDB open source multi-model database releases version 3.7 provided by Google News | Ontotext's GraphDB Solution is Now Available on the Microsoft Azure Marketplace Ontotext Unveils GraphDB 10.4 with Enhanced AWS Integration and ChatGPT Connector Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer Ontotext's GraphDB 10 Brings Modern Data Architectures to the Mainstream with Better Resilience and Еаsier Operations provided by Google News | MongoDB aims to unify developer experience with launch of MongoDB Cloud Danish CEO explains Silicon Valley learning curve for European entrepreneurs - San Francisco Business Times Is Swift the Future of Server-side Development? Kotlin Programming Language Will Surpass Java On Android Next Year Java Synthetic Methods — What are these? | by Vaibhav Singh provided by Google News | Sleeping at Scale - Delivering 10k Timers per Second per Node with Rust, Tokio, Kafka, and Scylla ScyllaDB Raises $43M to Take on MongoDB at Scale, Push Database Performance to New Levels Running ScyllaDB NoSQL on Kubernetes with Spot Instances ScyllaDB on AWS is a NoSQL Database Built for Gigabyte-to-Petabyte Scale | Amazon Web Services ScyllaDB Database Review | eWeek provided by Google News |
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