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DBMS > HBase vs. Heroic vs. Kdb vs. LevelDB vs. Sqrrl

System Properties Comparison HBase vs. Heroic vs. Kdb vs. LevelDB vs. Sqrrl

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHeroic  Xexclude from comparisonKdb  Xexclude from comparisonLevelDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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 ElasticSearchHigh performance Time Series DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelWide column storeTime Series DBMSTime Series DBMS
Vector DBMS
Key-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Websitehbase.apache.orggithub.com/­spotify/­heroickx.comgithub.com/­google/­leveldbsqrrl.com
Technical documentationhbase.apache.org/­book.htmlspotify.github.io/­heroiccode.kx.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetSpotifyKx Systems, a division of First Derivatives plcGoogleAmazon infooriginally Sqrrl Data, Inc.
Initial release200820142000 infokdb was released 2000, kdb+ in 200320112012
Current release2.3.4, January 20213.6, May 20181.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0commercial infofree 32-bit versionOpen Source infoBSDcommercial
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 languageJavaJavaqC++Java
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
Data schemeschema-free, schema definition possibleschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesnoyes
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.nonoyesno
Secondary indexesnoyes infovia Elasticsearchyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLnonoSQL-like query language (q)nono
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanouser defined functionsnono
Triggersyesnoyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infosimilar paradigm used for internal processingnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nononoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
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 & ABACrights management via user accountsnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
HBaseHeroicKdbLevelDBSqrrl
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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HBaseHeroicKdbLevelDBSqrrl
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