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DBMS > Apache IoTDB vs. Drizzle vs. OpenEdge vs. SAP Adaptive Server vs. SQLite

System Properties Comparison Apache IoTDB vs. Drizzle vs. OpenEdge vs. SAP Adaptive Server vs. SQLite

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDrizzle  Xexclude from comparisonOpenEdge  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSQLite  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
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 FlinkMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Application development environment with integrated database management systemThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSWidely used embeddable, in-process RDBMS
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#183  Overall
#15  Time Series DBMS
Score3.53
Rank#94  Overall
#49  Relational DBMS
Score37.49
Rank#25  Overall
#17  Relational DBMS
Score118.16
Rank#10  Overall
#7  Relational DBMS
Websiteiotdb.apache.orgwww.progress.com/­openedgewww.sap.com/­products/­technology-platform/­sybase-ase.htmlwww.sqlite.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latesthelp.sap.com/­docs/­SAP_ASEwww.sqlite.org/­docs.html
DeveloperApache Software FoundationDrizzle project, originally started by Brian AkerProgress Software CorporationSAP, SybaseDwayne Richard Hipp
Initial release20182008198419872000
Current release1.1.0, April 20237.2.4, September 2012OpenEdge 12.2, March 202016.03.45.2  (12 March 2024), March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercialcommercialOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++C
Server operating systemsAll OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
AIX
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Unix
Windows
server-less
Data schemeyesyesyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyesyes infonot rigid because of 'dynamic typing' concept.
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.noyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsyes infoclose to SQL 92yesyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
Native API
JDBCJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Java
PHP
Progress proprietary ABL (Advanced Business Language)C
C++
Cobol
Java
Java
Perl
PHP
Python
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresyesnoyesJava and Transact-SQLno
Triggersyesno infohooks for callbacks inside the server can be used.yesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardinghorizontal partitioning infosince Version 11.4horizontal 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 replicasMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infovia file-system locks
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.yesnoyes
User concepts infoAccess controlyesPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers and groupsfine grained access rights according to SQL-standardno

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More resources
Apache IoTDBDrizzleOpenEdgeSAP Adaptive Server infoformer name: Sybase ASESQLite
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