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DBMS > etcd vs. Kinetica vs. Microsoft Azure AI Search vs. PlanetScale vs. SAP SQL Anywhere

System Properties Comparison etcd vs. Kinetica vs. Microsoft Azure AI Search vs. PlanetScale vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPlanetScale  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionA distributed reliable key-value storeFully vectorized database across both GPUs and CPUsSearch-as-a-service for web and mobile app developmentScalable, distributed, serverless MySQL database platform built on top of VitessRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelKey-value storeRelational DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Vector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.kinetica.comazure.microsoft.com/­en-us/­services/­searchplanetscale.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.kinetica.comlearn.microsoft.com/­en-us/­azure/­searchplanetscale.com/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperKineticaMicrosoftPlanetScaleSAP infoformerly Sybase
Initial release2012201520201992
Current release3.4, August 20197.1, August 2021V117, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++Go
Server operating systemsFreeBSD
Linux
Windows infoexperimental
LinuxhostedDocker
Linux
macOS
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes infowith proprietary extensionsyes
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.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#
Java
JavaScript
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsnoyes infoproprietary syntaxyes, in C/C++, Java, .Net or Perl
Triggersyes, watching key changesyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Source-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
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.noyes infoGPU vRAM or System RAMnoyesyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelyes infousing Azure authenticationUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
etcdKineticaMicrosoft Azure AI SearchPlanetScaleSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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