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DBMS > EXASOL vs. FatDB vs. Hazelcast vs. SingleStore

System Properties Comparison EXASOL vs. FatDB vs. Hazelcast vs. SingleStore

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFatDB  Xexclude from comparisonHazelcast  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A .NET NoSQL DBMS that can integrate with and extend SQL Server.A widely adopted in-memory data gridMySQL 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 DBMSDocument store
Key-value store
Key-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score6.87
Rank#55  Overall
#6  Key-value stores
Score5.91
Rank#61  Overall
#34  Relational DBMS
Websitewww.exasol.comhazelcast.comwww.singlestore.com
Technical documentationwww.exasol.com/­resourceshazelcast.org/­imdg/­docsdocs.singlestore.com
DeveloperExasolFatCloudHazelcastSingleStore Inc.
Initial release2000201220082013
Current release5.3.6, November 20238.5, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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 languageC#JavaC++, Go
Server operating systemsWindowsAll OS with a Java VMLinux info64 bit version required
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesno infoVia inetgration in SQL ServerSQL-like query languageyes infobut no triggers and foreign keys
APIs and other access methods.Net
JDBC
ODBC
WebSocket
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JCache
JPA
Memcached protocol
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesJava
Lua
Python
R
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsyes infovia applicationsyes infoEvent Listeners, Executor Servicesyes
Triggersyesyes infovia applicationsyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoReplicated MapSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyesyesno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes 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.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardno infoCan implement custom security layer via applicationsRole-based access controlFine grained access control via users, groups and roles
More information provided by the system vendor
EXASOLFatDBHazelcastSingleStore 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
EXASOLFatDBHazelcastSingleStore infoformer name was MemSQL
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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