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DBMS > Amazon DocumentDB vs. Kinetica vs. RocksDB vs. SAP SQL Anywhere vs. SpatiaLite

System Properties Comparison Amazon DocumentDB vs. Kinetica vs. RocksDB vs. SAP SQL Anywhere vs. SpatiaLite

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonKinetica  Xexclude from comparisonRocksDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFully vectorized database across both GPUs and CPUsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsSpatial extension of SQLite
Primary database modelDocument storeRelational DBMSKey-value storeRelational DBMSSpatial DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websiteaws.amazon.com/­documentdbwww.kinetica.comrocksdb.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.kinetica.comgithub.com/­facebook/­rocksdb/­wikihelp.sap.com/­docs/­SAP_SQL_Anywherewww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperKineticaFacebook, Inc.SAP infoformerly SybaseAlessandro Furieri
Initial release20192012201319922008
Current release7.1, August 20219.2.1, May 202417, July 20155.0.0, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C++
Server operating systemshostedLinuxLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
server-less
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
RESTful HTTP API
C++ API
Java API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsnoyes, in C/C++, Java, .Net or Perlno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationyesSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoyesACIDACID
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.yes infoGPU vRAM or System RAMyesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles on table levelnofine grained access rights according to SQL-standardno

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
Amazon DocumentDBKineticaRocksDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpatiaLite
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