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DBMS > Apache Drill vs. Apache IoTDB vs. Kinetica vs. SAP SQL Anywhere vs. SQLite

System Properties Comparison Apache Drill vs. Apache IoTDB vs. Kinetica vs. SAP SQL Anywhere vs. SQLite

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache IoTDB  Xexclude from comparisonKinetica  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkFully vectorized database across both GPUs and CPUsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsWidely used embeddable, in-process RDBMS
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#125  Overall
#23  Document stores
#60  Relational DBMS
Score1.41
Rank#151  Overall
#14  Time Series DBMS
Score0.42
Rank#257  Overall
#120  Relational DBMS
Score3.24
Rank#81  Overall
#45  Relational DBMS
Score99.49
Rank#10  Overall
#7  Relational DBMS
Websitedrill.apache.orgiotdb.apache.orgwww.kinetica.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.sqlite.org
Technical documentationdrill.apache.org/­docsiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.kinetica.comhelp.sap.com/­docs/­SAP_SQL_Anywherewww.sqlite.org/­docs.html
DeveloperApache Software FoundationApache Software FoundationKineticaSAP infoformerly SybaseDwayne Richard Hipp
Initial release20122018201219922000
Current release1.20.3, January 20231.1.0, April 20237.1, August 202117, July 20153.46.1  (13 August 2024), August 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialcommercialOpen Source infoPublic Domain
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, C++C
Server operating systemsLinux
OS X
Windows
All OS with a Java VM (>= 1.8)LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
server-less
Data schemeschema-freeyesyesyesyes 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.nononoyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query languageSQL-like DML and DDL statementsyesyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Native API
JDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC++C
C#
C++
Go
Java
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
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 proceduresuser defined functionsyesuser defined functionsyes, in C/C++, Java, .Net or Perlno
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlDepending on the underlying data sourceyesAccess rights for users and roles on table levelfine grained access rights according to SQL-standardno

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Apache DrillApache IoTDBKineticaSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSQLite
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