DBMS > Aerospike vs. IRONdb vs. Kdb vs. ScyllaDB vs. SingleStore
System Properties Comparison Aerospike vs. IRONdb vs. Kdb vs. ScyllaDB vs. SingleStore
| Editorial information provided by DB-Engines | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Name | Aerospike  previously called Citrusleaf Xexclude from comparison | IRONdb Xexclude from comparison | Kdb Xexclude from comparison | ScyllaDB Xexclude from comparison | SingleStore former name was MemSQL Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Description | Flash-optimized In-memory NoSQL Database | A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity | High performance Time Series DBMS | Cassandra and DynamoDB compatible wide column store | MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Primary database model | Document store Graph DBMS leveraging Apache TinkerpopKey-value store Spatial DBMS | Time Series DBMS | Time Series DBMS Vector DBMS | Wide column store | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary database models | Relational DBMS | Key-value store | Document store Spatial DBMS Time Series DBMS Vector DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Website | aerospike.com | www.circonus.com/solutions/time-series-database/ | kx.com | www.scylladb.com | www.singlestore.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Technical documentation | docs.aerospike.com | docs.circonus.com/irondb/category/getting-started | code.kx.com | docs.scylladb.com | docs.singlestore.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Developer | Aerospike | Circonus LLC. | Kx Systems, a division of First Derivatives plc | ScyllaDB | SingleStore Inc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Initial release | 2012 | 2017 | 2000 kdb was released 2000, kdb+ in 2003 | 2015 | 2013 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Current release | 7.0, November 2023 | V0.10.20, January 2018 | 3.6, May 2018 | ScyllaDB Open Source 5.4.1, January 2024 | 8.5, January 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| License Commercial or Open Source | Open Source Apache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition available | commercial | commercial free 32-bit version | Open Source Open Source (AGPL), commercial license available | commercial free developer edition 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. | Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS | SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Implementation language | C | C and C++ | q | C++ | C++, Go | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server operating systems | Linux | Linux | Linux OS X Solaris Windows | Linux | Linux 64 bit version required | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Data scheme | schema-free | schema-free | yes | schema-free | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typing predefined data types such as float or date | yes | yes text, numeric, histograms | 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 | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary indexes | yes | no | yes table attribute 'grouped' | yes cluster global secondary indices | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| SQL Support of SQL | no | SQL-like query language (Circonus Analytics Query Language: CAQL) | SQL-like query language (q) | SQL-like DML and DDL statements (CQL) | yes but no triggers and foreign keys | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| APIs and other access methods | JDBC Proprietary protocol TinkerPop Gremlin | HTTP API | HTTP API JDBC Jupyter Kafka ODBC WebSocket | Proprietary protocol (CQL) compatible with CQL (Cassandra Query Language, an SQL-like language) RESTful HTTP API (DynamoDB compatible) Thrift | Cluster Management API as HTTP Rest and CLI HTTP API JDBC MongoDB API ODBC | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Supported programming languages | .Net C C# C++ Erlang Go Java JavaScript (Node.js) Lua Perl PHP Python Ruby | .Net C C++ Clojure Erlang Go Haskell Java JavaScript JavaScript (Node.js) Lisp Lua Perl PHP Python R Ruby Rust Scala | C C# C++ Go J Java JavaScript Lua MatLab Perl PHP Python R Scala | 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 | Bash C C# Java JavaScript (Node.js) Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server-side scripts Stored procedures | user defined functions with Lua | yes, in Lua | user defined functions | yes, Lua | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Triggers | no | no | yes with views | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Partitioning methods Methods for storing different data on different nodes | Sharding | Automatic, metric affinity per node | horizontal partitioning | Sharding | Sharding hash partitioning | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Replication methods Methods for redundantly storing data on multiple nodes | selectable replication factor | configurable replication factor, datacenter aware | Source-replica replication | selectable replication factor Representation of geographical distribution of servers is possible | Source-replica replication stores two copies of each physical data partition on two separate nodes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MapReduce Offers an API for user-defined Map/Reduce methods | yes Aerospike Aggregation Framework is similar to Map/Reduce | no | no similar paradigm used for internal processing | no | no can define user-defined aggregate functions for map-reduce-style calculations | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 per node, eventual consistency across nodes | Immediate Consistency | Eventual Consistency Tunable Consistency can be individually decided for each write operation | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Foreign keys Referential integrity | no | no | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | Atomic execution of operations | no | no | no Atomicity and isolation are supported for single operations | 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 | yes All updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | no | yes | yes in-memory tables | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| User concepts Access control | Access rights for users and roles with Enterprise Edition only | no | rights management via user accounts | Access rights for users can be defined per object | Fine grained access control via users, groups and roles | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Aerospike previously called Citrusleaf | IRONdb | Kdb | ScyllaDB | SingleStore former name was MemSQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Specific characteristics | Aerospike is an enterprise-class, NoSQL database solution delivering predictable... » more | Integrated columnar database & programming system for streaming, real time and historical... » more | ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted... » more | SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competitive advantages | Optimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically... » more | provides seamless scalability; runs on industry standard server platforms; is top-ranked... » more | Highly-performant (efficiently utilizes full resources of a node and network; millions... » more | SingleStore’s competitive advantages include: Easy and Simplified Architecture with... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typical application scenarios | Aerospike excels in mission-critical applications that have mixed read/write workloads... » more | tick database streaming sensor data massive intelligence applications oil and gas... » more | ScyllaDB is ideal for applications that require high throughput and low latency at... » more | Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Key customers | Nielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services... » more | Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities... » more | Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,... » more | IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Market metrics | Aerospike's combination of speed, scalability, and reliability delivers 10x performance... » more | kdb+ performance and reliability proven by our customers in critical infrastructure... » more | ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput... » more | Customers in various industries worldwide including US and International Industry... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Licensing and pricing models | Subscription-based Enterprise Edition and free, open-source Community Edition » more | upon request » more | ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based... » more | F ree Tier and Enterprise Edition » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| News | 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 Aerospike Achieves the new AWS Advertising and Marketing Technology Competency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Aerospike previously called Citrusleaf | IRONdb | Kdb | ScyllaDB | SingleStore former name was MemSQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DB-Engines blog posts | Evaluating Hbase and Aerospike Solutions for Real-time System of Record | Turbocharge Your Application Development Using WebAssembly With SingleStoreDB Cloud-Based Analytics With SingleStoreDB SingleStore: The Increasing Momentum of Multi-Model Database Systems Aerospike a Winner in 2024 Business Sustainability Awards 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's New Release Cuts Costs by Enabling Hundreds of Caches on Small Clusters Aerospike reels in $109M to accelerate its high-speed database provided by Google News Application observability firm Apica buys telemetry data startup Circonus and adds more funding Apica Acquires Telemetry Data Management Pioneer Circonus And Lands New Funding Apica gets $6 million in funding and buys Circonus - provided by Google News Turbocharging the Engine: KX Unleashes AI-First Transformation with kdb+ McLaren Applied and KX partner to enhance ATLAS software analytics capabilities Introducing Amazon FinSpace with Managed kdb Insights, a fully managed analytics engine, commonly used by capital ... KX ANNOUNCES KDB INSIGHTS AS FULLY MANAGED SERVICE ON AMAZON FINSPACE KX Brings the Power and Performance of kdb+ to Python Developers with PyKX 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 ScyllaDB on AWS is a NoSQL Database Built for Gigabyte-to-Petabyte Scale | Amazon Web Services ScyllaDB Launches Scylla Cloud Database as a Service Scylla review: Apache Cassandra supercharged provided by Google News SingleStore CEO sees little future for purpose-built vector databases SingleStore Announces Real-time Data Platform to Further Accelerate AI, Analytics and Application Development Building a Modern Database: Nikita Shamgunov on Postgres and Beyond SingleStore adds indexed vector search to Pro Max release for faster AI work – Blocks and Files SingleStore, Snowflake Help Customers Build Enterprise-Ready Generative AI Apps provided by Google News | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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