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DBMS > HBase vs. Heroic vs. LevelDB vs. Microsoft Azure Synapse Analytics vs. Warp 10

System Properties Comparison HBase vs. Heroic vs. LevelDB vs. Microsoft Azure Synapse Analytics vs. Warp 10

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelWide column storeTime Series DBMSKey-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.08
Rank#358  Overall
#35  Time Series DBMS
Websitehbase.apache.orggithub.com/­spotify/­heroicgithub.com/­google/­leveldbazure.microsoft.com/­services/­synapse-analyticswww.warp10.io
Technical documentationhbase.apache.org/­book.htmlspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.microsoft.com/­azure/­synapse-analyticswww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetSpotifyGoogleMicrosoftSenX
Initial release20082014201120162015
Current release2.3.4, January 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoBSDcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C++Java
Server operating systemsLinux
Unix
Windows infousing Cygwin
Illumos
Linux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeschema-free, schema definition possibleschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesnoyesyes
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.nonononono
Secondary indexesnoyes infovia Elasticsearchnoyesno
SQL infoSupport of SQLnononoyesno
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C#
Java
PHP
Server-side scripts infoStored proceduresyes infoCoprocessors in JavanonoTransact SQLyes infoWarpScript
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding, horizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnoneyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
HBaseHeroicLevelDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWarp 10
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