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DBMS > Apache IoTDB vs. H2GIS vs. IBM Db2 Event Store vs. Interbase vs. Spark SQL

System Properties Comparison Apache IoTDB vs. H2GIS vs. IBM Db2 Event Store vs. Interbase vs. Spark SQL

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonH2GIS  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonInterbase  Xexclude from comparisonSpark SQL  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 FlinkSpatial extension of H2Distributed Event Store optimized for Internet of Things use casesLight-weight proven RDBMS infooriginally from BorlandSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSSpatial DBMSEvent Store
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteiotdb.apache.orgwww.h2gis.orgwww.ibm.com/­products/­db2-event-storewww.embarcadero.com/­products/­interbasespark.apache.org/­sql
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.h2gis.org/­docs/­homewww.ibm.com/­docs/­en/­db2-event-storedocs.embarcadero.com/­products/­interbasespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationCNRSIBMEmbarcaderoApache Software Foundation
Initial release20182013201719842014
Current release1.1.0, April 20232.0InterBase 2020, December 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoLGPL 3.0commercial infofree developer edition availablecommercialOpen Source infoApache 2.0
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 languageJavaJavaC and C++CScala
Server operating systemsAll OS with a Java VM (>= 1.8)Linux infoLinux, macOS, Windows for the developer additionAndroid
iOS
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoexport as XML data possibleno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL-like query languageyesyes infothrough the embedded Spark runtimeyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
Native API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infobased on H2yesyes infoInterbase procedure and trigger languageno
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes infobased on H2Active-active shard replicationInterbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)No - written data is immutableyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesno
User concepts infoAccess controlyesyes infobased on H2fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Apache IoTDBH2GISIBM Db2 Event StoreInterbaseSpark SQL
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