DBMS > Aerospike vs. AllegroGraph vs. Google Cloud Firestore vs. MongoDB vs. Raima Database Manager
System Properties Comparison Aerospike vs. AllegroGraph vs. Google Cloud Firestore vs. MongoDB vs. Raima Database Manager
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Name | Aerospike previously called Citrusleaf Xexclude from comparison | AllegroGraph Xexclude from comparison | Google Cloud Firestore Xexclude from comparison | MongoDB Xexclude from comparison | Raima Database Manager formerly named db_Vista Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | Flash-optimized In-memory NoSQL Database | High performance, persistent RDF store with additional support for Graph DBMS | Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products. | One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure | RDBMS with a small footprint, either embedded into an application or used as a database server | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Document store Graph DBMS leveraging Apache Tinkerpop Key-value store Spatial DBMS | Document store with version 6.5 Graph DBMS RDF store Vector DBMS | Document store | Document store | Relational DBMS Time Series DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Spatial DBMS | Spatial DBMS Search engine integrated Lucene index, currently in MongoDB Atlas only. Time Series DBMS Time Series Collections introduced in Release 5.0 Vector DBMS currently available in the MongoDB Atlas cloud service only | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | aerospike.com | allegrograph.com | firebase.google.com/products/firestore | www.mongodb.com | raima.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | docs.aerospike.com | franz.com/agraph/support/documentation/current/agraph-introduction.html | firebase.google.com/docs/firestore | www.mongodb.com/docs/manual | docs.raima.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Developer | Aerospike | Franz Inc. | MongoDB, Inc | Raima Inc. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2012 | 2004 | 2017 | 2009 | 1984 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 7.0, November 2023 | 8.0, December 2023 | 6.0.7, June 2023 | 15, June 2021 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source Apache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition available | commercial Limited community edition free | commercial | Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available. | commercial | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | yes | no MongoDB available as DBaaS (MongoDB Atlas) | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementation language | C | C++ | C | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux | Linux OS X Windows | hosted | Linux OS X Solaris Windows | Android HP-UX Integrity RTOS iOS Linux OS X QNX Solaris VxWorks Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | yes RDF schemas | schema-free | schema-free Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema. | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | yes | yes | yes string, integer, double, decimal, boolean, date, object_id, geospatial | 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 bulk load of XML files possible | no | no Exporting/Importing of XML structures possible | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | no | SPARQL is used as query language | no | Read-only SQL queries via the MongoDB Atlas SQL Interface | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | JDBC Proprietary protocol TinkerPop Gremlin | RESTful HTTP API SPARQL | Android gRPC (using protocol buffers) API iOS JavaScript API RESTful HTTP API | GraphQL HTTP REST Prisma proprietary protocol using JSON | ADO.NET JDBC ODBC RESTful HTTP API | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | .Net C C# C++ Erlang Go Java JavaScript (Node.js) Lua Perl PHP Python Ruby | C# Clojure Java Lisp Perl Python Ruby Scala | Go Java JavaScript JavaScript (Node.js) Objective-C Python | Actionscript unofficial driver C C# C++ Clojure unofficial driver ColdFusion unofficial driver D unofficial driver Dart unofficial driver Delphi unofficial driver Erlang Go Groovy unofficial driver Haskell Java JavaScript Kotlin Lisp unofficial driver Lua unofficial driver MatLab unofficial driver Perl PHP PowerShell unofficial driver Prolog unofficial driver Python R unofficial driver Ruby Rust Scala Smalltalk unofficial driver Swift | .Net C C++ Objective-C PL/SQL | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | user defined functions with Lua | yes JavaScript or Common Lisp | yes, Firebase Rules & Cloud Functions | JavaScript | yes based on the ANSI/ISO SQL Persistent Stored Modules (PSM) specification | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | no | yes | yes, with Cloud Functions | yes in MongoDB Atlas only | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Sharding | with Federation | Sharding | Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime. | horizontal partitioning | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | selectable replication factor | Multi-source replication Source-replica replication | Multi-source replication | Multi-Source deployments with MongoDB Atlas Global Clusters Source-replica replication | Source-replica replication | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | yes Aerospike Aggregation Framework is similar to Map/Reduce | no | Using Cloud Dataflow | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configuration | Immediate Consistency or Eventual Consistency depending on configuration | Immediate Consistency | Eventual Consistency can be individually decided for each read operation Immediate Consistency default behaviour | Immediate Consistency or Eventual Consistency depending on configuration | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | no | no | no typically not used, however similar functionality with DBRef possible | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | Atomic execution of operations | ACID | yes | Multi-document ACID Transactions with snapshot isolation | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | yes, multi-version concurrency control (MVCC) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes | yes | yes optional, enabled by default | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | no | yes In-memory storage engine introduced with MongoDB version 3.2 | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Access rights for users and roles with Enterprise Edition only | Users with fine-grained authorization concept, user roles and pluggable authentication | Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth. | Access rights for users and roles | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Aerospike previously called Citrusleaf | AllegroGraph | Google Cloud Firestore | MongoDB | Raima Database Manager formerly named db_Vista | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | Aerospike is an enterprise-class, NoSQL database solution delivering predictable... » more | Knowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph... » more | MongoDB provides an integrated suite of cloud database and data services to accelerate... » more | Raima Database Manager (RDM) is an embedded time-series database optimized to run... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | Optimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically... » more | AllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and... » more | Built around the flexible document data model and unified API, MongoDB is a developer... » more | Decreased time-to-market Industry-standard interfaces & tools for making your job... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typical application scenarios | Aerospike excels in mission-critical applications that have mixed read/write workloads... » more | AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of... » more | Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | Nielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services... » more | ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,... » more | Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | Aerospike's combination of speed, scalability, and reliability delivers 10x performance... » more | Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month... » more | Over 30 000 applications developers worldwide have field-tested RDM products More... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | Subscription-based Enterprise Edition and free, open-source Community Edition » more | MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses... » more | Just as the technical aspects of Raima Database Manager are flexible, so are the... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
News | 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 Aerospike Achieves the new AWS Advertising and Marketing Technology Competency Aerospike Showcases New Levels of Database Performance, Price, and Sustainability on Graviton3 at AWS re:Invent | Can Neuro-Symbolic AI Solve AI’s Weaknesses? 100 Companies That Matter in KM – Franz Inc. Exploring AllegroGraph v8 – Unleashing the Power of Neuro-Symbolic AI (Recorded Webinar) What is Neuro-Symbolic AI? Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform | Raima Unveils RaimaDB 16.0: Elevating Database Performance and User Experience Raima Announces Release of Raima Database Manager (RDM) v15, a Powerful Embedded Time Series Database Raima Announces Release of Raima Database Manager (RDM) v14.2, a Powerful IoT Edge Embedded Database Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions Raima Expands Their Reseller Network in Asia | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Aerospike previously called Citrusleaf | AllegroGraph | Google Cloud Firestore | MongoDB | Raima Database Manager formerly named db_Vista | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Evaluating Hbase and Aerospike Solutions for Real-time System of Record | Cloud-based DBMS's popularity grows at high rates | Snowflake is the DBMS of the Year 2021 PostgreSQL is the DBMS of the Year 2020 PostgreSQL is the DBMS of the Year 2018 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Recent citations in the news | Aerospike raises $109M for its real-time database platform to capitalize on the AI boom Aerospike Raises $109M For Accelerated Database Development, Market Expansion Aerospike reels in $109M to accelerate its high-speed database Aerospike set to grow real time database for AI with $109M raise Aerospike Lands $109 Million Investment to Fuel Expansion provided by Google News | Q&A: Can Neuro-Symbolic AI Solve AI’s Weaknesses? Neuro-Symbolic AI: The Peak of Artificial Intelligence The Foundation of Data Fabrics and AI: Semantic Knowledge Graphs - DataScienceCentral.com Franz Releases the First Neuro-Symbolic AI Platform Merging Knowledge Graphs, Generative AI, and Vector Storage Fuse Graph Neural Networks with Semantic Reasoning to Produce Complimentary Predictions provided by Google News | Realtime vs Cloud Firestore: Which Firebase Database to go? Google's AI-First Strategy Brings Vector Support To Cloud Databases Google's Cloud Firestore is now generally available Google launches Cloud Firestore, a new document database for app developers Google's Cloud-Native NoSQL Database Cloud Firestore Is Now Generally Available provided by Google News | A Closer Look at 27 Analyst Recommendations For MongoDB - MongoDB (NASDAQ:MDB) Build RAG applications with MongoDB Atlas, now available in Knowledge Bases for Amazon Bedrock | Amazon Web ... Is Now An Opportune Moment To Examine MongoDB, Inc. (NASDAQ:MDB)? Traders Purchase High Volume of MongoDB Put Options (NASDAQ:MDB) MongoDB.local NYC: Charting enterprise AI transformation provided by Google News | Raima re-bundles their Raima Database Manager packages to align with market trends Edge Computing Enabling the Future | Wind River LabVIEW integrates Raima's Database API provided by Google News |
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