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DBMS > etcd vs. Greenplum vs. Hive vs. SAP SQL Anywhere vs. Sphinx

System Properties Comparison etcd vs. Greenplum vs. Hive vs. SAP SQL Anywhere vs. Sphinx

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGreenplum  Xexclude from comparisonHive  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA distributed reliable key-value storeAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.data warehouse software for querying and managing large distributed datasets, built on HadoopRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteetcd.io
github.com/­etcd-io/­etcd
greenplum.orghive.apache.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsphinxsearch.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.greenplum.orgcwiki.apache.org/­confluence/­display/­Hive/­Homehelp.sap.com/­docs/­SAP_SQL_Anywheresphinxsearch.com/­docs
DeveloperPivotal Software Inc.Apache Software Foundation infoinitially developed by FacebookSAP infoformerly SybaseSphinx Technologies Inc.
Initial release2005201219922001
Current release3.4, August 20197.0.0, September 20233.1.3, April 202217, July 20153.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2commercialOpen 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 languageGoJavaC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
LinuxAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesno
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.noyes infosince Version 4.2yes
Secondary indexesnoyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsyesSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
JDBC
ODBC
Thrift
ADO.NET
HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
Java
Perl
Python
R
C++
Java
PHP
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesyes infouser defined functions and integration of map-reduceyes, in C/C++, Java, .Net or Perlno
Triggersyes, watching key changesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding 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.Source-replica replicationselectable replication factorSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
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.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and rolesfine grained access rights according to SQL-standardno

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More resources
etcdGreenplumHiveSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSphinx
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