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DBMS > Apache IoTDB vs. EXASOL vs. jBASE vs. Kingbase vs. SingleStore

System Properties Comparison Apache IoTDB vs. EXASOL vs. jBASE vs. Kingbase vs. SingleStore

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEXASOL  Xexclude from comparisonjBASE  Xexclude from comparisonKingbase  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A robust multi-value DBMS comprising development tools and middlewareAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.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 modelTime Series DBMSRelational DBMSMultivalue DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Score0.44
Rank#258  Overall
#117  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websiteiotdb.apache.orgwww.exasol.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.kingbase.com.cnwww.singlestore.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.exasol.com/­resourcesdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.singlestore.com
DeveloperApache Software FoundationExasolRocket Software (formerly Zumasys)BeiJing KINGBASE Information technologies inc.SingleStore Inc.
Initial release20182000199119992013
Current release1.1.0, April 20235.7V8.0, August 20218.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial infofree developer edition 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 languageJavaC and JavaC++, Go
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
Linux
Windows
Linux
Windows
Linux info64 bit version required
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.nonoyesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesEmbedded SQL for jBASE in BASICStandard with numerous extensionsyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
Native API
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
Lua
Python
R
.Net
Basic
Jabbascript
Java
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functionsyesuser defined functionsyes
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesyesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyes infoHadoop integrationnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesyesyesyes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardFine grained access control via users, groups and roles

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More resources
Apache IoTDBEXASOLjBASEKingbaseSingleStore infoformer name was MemSQL
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