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DBMS > Datomic vs. Drizzle vs. SingleStore

System Properties Comparison Datomic vs. Drizzle vs. SingleStore

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.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 modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#133  Overall
#65  Relational DBMS
Score6.54
Rank#64  Overall
#34  Relational DBMS
Websitewww.datomic.comwww.singlestore.com
Technical documentationdocs.datomic.comdocs.singlestore.com
DeveloperCognitectDrizzle project, originally started by Brian AkerSingleStore Inc.
Initial release201220082013
Current release1.0.6362, January 20227.2.4, September 20127.6, November 2021
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU GPLcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStore Managed Service: 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 languageJava, ClojureC++C++, Go
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Linux info64 bit version required
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes infobut no triggers and foreign keys
APIs and other access methodsRESTful HTTP APIJDBCCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
ODBC
Supported programming languagesClojure
Java
C
C++
Java
PHP
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes
TriggersBy using transaction functionsno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Source-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoAll 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 infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPFine grained access control via users, groups and roles
More information provided by the system vendor
DatomicDrizzleSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DatomicDrizzleSingleStore infoformer name was MemSQL
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Recent citations in the news

The Architecture of Datomic
2 November 2012, InfoQ.com

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28 July 2020, Finextra

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SingleStore raises $30M more to bring its database tech to new customers
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Cloud-native database startup SingleStore bags additional $30M in ...
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SingleStore Closes Series F-2 Financing at $146M
3 October 2022, businesswire.com

Real-time Analytic Databases — Thing or Not a Thing?
17 March 2023, The New Stack

SingleStore Announces Key Innovations for World's Only Unified ...
13 December 2022, Datanami

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