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DBMS > DuckDB vs. EXASOL vs. jBASE vs. SingleStore vs. Splice Machine

System Properties Comparison DuckDB vs. EXASOL vs. jBASE vs. SingleStore vs. Splice Machine

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonEXASOL  Xexclude from comparisonjBASE  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A robust multi-value DBMS comprising development tools and middlewareMySQL 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 Spark
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websiteduckdb.orgwww.exasol.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.singlestore.comsplicemachine.com
Technical documentationduckdb.org/­docswww.exasol.com/­resourcesdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.singlestore.comsplicemachine.com/­how-it-works
DeveloperExasolRocket Software (formerly Zumasys)SingleStore Inc.Splice Machine
Initial release20182000199120132014
Current release1.0.0, June 20245.78.5, January 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercialcommercial infofree developer edition availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, GoJava
Server operating systemsserver-lessAIX
Linux
Windows
Linux info64 bit version requiredLinux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesEmbedded SQL for jBASE in BASICyes infobut no triggers and foreign keysyes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Java
Lua
Python
R
.Net
Basic
Jabbascript
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsyesyesyes infoJava
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infohash partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono infocan define user-defined aggregate functions for map-reduce-style calculationsYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes, multi-version concurrency control (MVCC)yes, 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.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardAccess rights can be defined down to the item levelFine grained access control via users, groups and rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
DuckDBEXASOLjBASESingleStore infoformer name was MemSQLSplice Machine
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