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DBMS > HBase vs. InfinityDB vs. Microsoft Azure Table Storage vs. PlanetScale vs. STSdb

System Properties Comparison HBase vs. InfinityDB vs. Microsoft Azure Table Storage vs. PlanetScale vs. STSdb

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPlanetScale  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA Java embedded Key-Value Store which extends the Java Map interfaceA Wide Column Store for rapid development using massive semi-structured datasetsScalable, distributed, serverless MySQL database platform built on top of VitessKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelWide column storeKey-value storeWide column storeRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitehbase.apache.orgboilerbay.comazure.microsoft.com/­en-us/­services/­storage/­tablesplanetscale.comgithub.com/­STSSoft/­STSdb4
Technical documentationhbase.apache.org/­book.htmlboilerbay.com/­infinitydb/­manualplanetscale.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetBoiler Bay Inc.MicrosoftPlanetScaleSTS Soft SC
Initial release20082002201220202011
Current release2.3.4, January 20214.04.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialcommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoC#
Server operating systemsLinux
Unix
Windows infousing Cygwin
All OS with a Java VMhostedDocker
Linux
macOS
Windows
Data schemeschema-free, schema definition possibleyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyesyes infoprimitive types and user defined types (classes)
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.nonono
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilitynoyesno
SQL infoSupport of SQLnononoyes infowith proprietary extensionsno
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
.NET Client API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Java.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanonoyes infoproprietary syntaxno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACID infoOptimistic locking for transactions; no isolation for bulk loadsoptimistic lockingACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoAccess rights based on private key authentication or shared access signaturesUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
HBaseInfinityDBMicrosoft Azure Table StoragePlanetScaleSTSdb
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