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DBMS > etcd vs. Prometheus vs. SAP SQL Anywhere vs. Solr vs. Sphinx

System Properties Comparison etcd vs. Prometheus vs. SAP SQL Anywhere vs. Solr vs. Sphinx

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonPrometheus  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA distributed reliable key-value storeOpen-source Time Series DBMS and monitoring systemRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeTime Series DBMSRelational DBMSSearch engineSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Websiteetcd.io
github.com/­etcd-io/­etcd
prometheus.iowww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsolr.apache.orgsphinxsearch.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
prometheus.io/­docshelp.sap.com/­docs/­SAP_SQL_Anywheresolr.apache.org/­resources.htmlsphinxsearch.com/­docs
DeveloperSAP infoformerly SybaseApache Software FoundationSphinx Technologies Inc.
Initial release2015199220062001
Current release3.4, August 201917, July 20159.6.0, April 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence available
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 languageGoGoJavaC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or datenoNumeric data onlyyesyes infosupports customizable data types and automatic typingno
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.nono infoImport of XML data possibleyesyes
Secondary indexesnonoyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyesSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
JSON over HTTP
RESTful HTTP/JSON APIADO.NET
HTTP API
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Proprietary protocol
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoyes, in C/C++, Java, .Net or PerlJava pluginsno
Triggersyes, watching key changesnoyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoby FederationSource-replica replication infoDatabase mirroringyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardyesno

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More resources
etcdPrometheusSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSolrSphinx
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