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DBMS > EXASOL vs. Rockset vs. SingleStore vs. Splice Machine vs. Trafodion

System Properties Comparison EXASOL vs. Rockset vs. SingleStore vs. Splice Machine vs. Trafodion

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonRockset  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSplice Machine  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A scalable, reliable search and analytics service in the cloud, built on RocksDBMySQL 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 typeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
Search engine
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitewww.exasol.comrockset.comwww.singlestore.comsplicemachine.comtrafodion.apache.org
Technical documentationwww.exasol.com/­resourcesdocs.rockset.comdocs.singlestore.comsplicemachine.com/­how-it-workstrafodion.apache.org/­documentation.html
DeveloperExasolRocksetSingleStore Inc.Splice MachineApache Software Foundation, originally developed by HP
Initial release20002019201320142014
Current release8.5, January 20243.1, March 20212.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, GoJavaC++, Java
Server operating systemshostedLinux info64 bit version requiredLinux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesdynamic typingyesyesyes
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 infoingestion from XML files supportednono
Secondary indexesyesall fields are automatically indexedyesyesyes
SQL infoSupport of SQLyesRead-only SQL queries, including JOINsyes infobut no triggers and foreign keysyesyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HTTP RESTCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
Go
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functionsnoyesyes infoJavaJava Stored Procedures
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding infohash partitioningShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnono infocan define user-defined aggregate functions for map-reduce-style calculationsYes, via Full Spark Integrationyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users and organizations can be defined via Rockset consoleFine grained access control via users, groups and rolesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EXASOLRocksetSingleStore infoformer name was MemSQLSplice MachineTrafodion
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