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DBMS > Datomic vs. etcd vs. Kinetica vs. SAP SQL Anywhere vs. SpatiaLite

System Properties Comparison Datomic vs. etcd vs. Kinetica vs. SAP SQL Anywhere vs. SpatiaLite

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonetcd  Xexclude from comparisonKinetica  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed reliable key-value storeFully vectorized database across both GPUs and CPUsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsSpatial extension of SQLite
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websitewww.datomic.cometcd.io
github.com/­etcd-io/­etcd
www.kinetica.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.datomic.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.kinetica.comhelp.sap.com/­docs/­SAP_SQL_Anywherewww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperCognitectKineticaSAP infoformerly SybaseAlessandro Furieri
Initial release2012201219922008
Current release1.0.7075, December 20233.4, August 20197.1, August 202117, July 20155.0.0, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0commercialcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
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 languageJava, ClojureGoC, C++C++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
server-less
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyesyes
APIs and other access methodsRESTful HTTP APIgRPC
JSON over HTTP
JDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesClojure
Java
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsnouser defined functionsyes, in C/C++, Java, .Net or Perlno
TriggersBy using transaction functionsyes, watching key changesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlnonoAccess rights for users and roles on table levelfine grained access rights according to SQL-standardno

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More resources
DatomicetcdKineticaSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpatiaLite
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