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DBMS > Apache IoTDB vs. EXASOL vs. Spark SQL vs. Speedb vs. STSdb

System Properties Comparison Apache IoTDB vs. EXASOL vs. Spark SQL vs. Speedb vs. STSdb

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEXASOL  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpeedb  Xexclude from comparisonSTSdb  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.Spark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSRelational DBMSRelational DBMSKey-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.26
Rank#310  Overall
#45  Key-value stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websiteiotdb.apache.orgwww.exasol.comspark.apache.org/­sqlwww.speedb.iogithub.com/­STSSoft/­STSdb4
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.exasol.com/­resourcesspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationExasolApache Software FoundationSpeedbSTS Soft SC
Initial release20182000201420202011
Current release1.1.0, April 20233.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache Version 2.0; commercial license availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC++C#
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
Linux
Windows
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes infoprimitive types and user defined types (classes)
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.nononono
Secondary indexesyesyesnonono
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
Native API
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
.NET Client API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
Lua
Python
R
Java
Python
R
Scala
C
C++
Go
Java
Perl
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresyesuser defined functionsnonono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingyes, utilizing Spark Corehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardnonono
More information provided by the system vendor
Apache IoTDBEXASOLSpark SQLSpeedbSTSdb
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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More resources
Apache IoTDBEXASOLSpark SQLSpeedbSTSdb
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