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DBMS > etcd vs. FeatureBase vs. Kinetica vs. SAP SQL Anywhere vs. TimesTen

System Properties Comparison etcd vs. FeatureBase vs. Kinetica vs. SAP SQL Anywhere vs. TimesTen

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFeatureBase  Xexclude from comparisonKinetica  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA distributed reliable key-value storeReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Fully vectorized database across both GPUs and CPUsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.05
Rank#53  Overall
#5  Key-value stores
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score3.50
Rank#81  Overall
#44  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.featurebase.comwww.kinetica.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.featurebase.comdocs.kinetica.comhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperMolecula and Pilosa Open Source ContributorsKineticaSAP infoformerly SybaseOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2017201219921998
Current release3.4, August 20192022, May 20227.1, August 202117, July 2015Release 22.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial
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 languageGoGoC, C++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
macOS
LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
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.nononoyesno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnoSQL queriesSQL-like DML and DDL statementsyesyes
APIs and other access methodsgRPC
JSON over HTTP
gRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Java
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnouser defined functionsyes, in C/C++, Java, .Net or PerlPL/SQL
Triggersyes, watching key changesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesSource-replica replicationSource-replica replication infoDatabase mirroringMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
etcdFeatureBaseKineticaSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTimesTen
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