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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. etcd vs. HBase vs. Sphinx vs. TerarkDB

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. etcd vs. HBase vs. Sphinx vs. TerarkDB

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonetcd  Xexclude from comparisonHBase  Xexclude from comparisonSphinx  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumA distributed reliable key-value storeWide-column store based on Apache Hadoop and on concepts of BigTableOpen source search engine for searching in data from different sources, e.g. relational databasesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSKey-value storeWide column storeSearch engineKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#247  Overall
#112  Relational DBMS
Score7.66
Rank#55  Overall
#6  Key-value stores
Score31.60
Rank#26  Overall
#2  Wide column stores
Score6.06
Rank#61  Overall
#6  Search engines
Score0.06
Rank#377  Overall
#57  Key-value stores
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqletcd.io
github.com/­etcd-io/­etcd
hbase.apache.orgsphinxsearch.comgithub.com/­bytedance/­terarkdb
Technical documentationwww.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overviewetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hbase.apache.org/­book.htmlsphinxsearch.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupApache Software Foundation infoApache top-level project, originally developed by PowersetSphinx Technologies Inc.ByteDance, originally Terark
Initial release2016200820012016
Current release3.4, August 20192.3.4, January 20213.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoGPL version 2, commercial licence availablecommercial inforestricted open source version available
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 languageGoJavaC++C++
Server operating systemshostedFreeBSD
Linux
Windows infoexperimental
Linux
Unix
Windows infousing Cygwin
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesnooptions to bring your own types, AVROnono
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.yesnonono
Secondary indexesyesnonoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyesnonoSQL-like query language (SphinxQL)no
APIs and other access methodsJDBC
ODBC
gRPC
JSON over HTTP
Java API
RESTful HTTP API
Thrift
Proprietary protocolC++ API
Java API
Supported programming languagesC
Java
Perl
Python
R
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Server-side scripts infoStored proceduresyesnoyes infoCoprocessors in Javanono
Triggersyesyes, watching key changesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)nono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnono

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Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBetcdHBaseSphinxTerarkDB
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