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DBMS > GridGain vs. SingleStore vs. SQream DB vs. XTDB

System Properties Comparison GridGain vs. SingleStore vs. SQream DB vs. XTDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSQream DB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteMySQL 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 typea GPU-based, columnar RDBMS for big data analytics workloadsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.gridgain.comwww.singlestore.comsqream.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.singlestore.comdocs.sqream.comwww.xtdb.com/­docs
DeveloperGridGain Systems, Inc.SingleStore Inc.SQream TechnologiesJuxt Ltd.
Initial release2007201320172019
Current releaseGridGain 8.5.18.5, January 20242022.1.6, December 20221.19, September 2021
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialOpen Source infoMIT License
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 languageJava, C++, .NetC++, GoC++, CUDA, Haskell, Java, ScalaClojure
Server operating systemsLinux
OS X
Solaris
Windows
Linux info64 bit version requiredLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes, extensible-data-notation format
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.yesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infobut no triggers and foreign keysyeslimited SQL, making use of Apache Calcite
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
.Net
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Clojure
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesuser defined functions in Pythonno
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioninghorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication infostores two copies of each physical data partition on two separate nodesnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no infocan define user-defined aggregate functions for map-reduce-style calculationsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsFine grained access control via users, groups and roles
More information provided by the system vendor
GridGainSingleStore infoformer name was MemSQLSQream DBXTDB infoformerly named Crux
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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More resources
GridGainSingleStore infoformer name was MemSQLSQream DBXTDB infoformerly named Crux
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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