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DBMS > Alibaba Cloud Table Store vs. Elasticsearch vs. EsgynDB vs. HarperDB vs. Hypertable

System Properties Comparison Alibaba Cloud Table Store vs. Elasticsearch vs. EsgynDB vs. HarperDB vs. Hypertable

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonHarperDB  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelWide column storeSearch engineRelational DBMSDocument storeWide column store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score132.83
Rank#7  Overall
#1  Search engines
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Websitewww.alibabacloud.com/­product/­table-storewww.elastic.co/­elasticsearchwww.esgyn.cnwww.harperdb.io
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorewww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.harperdb.io/­docs
DeveloperAlibabaElasticEsgynHarperDBHypertable Inc.
Initial release20162010201520172009
Current release8.6, January 20233.1, August 20210.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoElastic Licensecommercialcommercial infofree community edition availableOpen Source infoGNU version 3. Commercial license 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 languageJavaC++, JavaNode.jsC++
Server operating systemshostedAll OS with a Java VMLinuxLinux
OS X
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON data typesno
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.nononono
Secondary indexesnoyes infoAll search fields are automatically indexedyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnoSQL-like query languageyesSQL-like data manipulation statementsno
APIs and other access methodsHTTP APIJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
C++ API
Thrift
Supported programming languagesJava
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesJava Stored ProceduresCustom Functions infosince release 3.1no
Triggersnoyes infoby using the 'percolation' featurenonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesMulti-source replication between multi datacentersyes infothe nodes on which a table resides can be definedselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationnoyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standardAccess rights for users and rolesno

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More resources
Alibaba Cloud Table StoreElasticsearchEsgynDBHarperDBHypertable
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