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DBMS > Apache Impala vs. HBase vs. HugeGraph vs. Riak KV vs. STSdb

System Properties Comparison Apache Impala vs. HBase vs. HugeGraph vs. Riak KV vs. STSdb

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonRiak KV  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopWide-column store based on Apache Hadoop and on concepts of BigTableA fast-speed and highly-scalable Graph DBMSDistributed, fault tolerant key-value storeKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSWide column storeGraph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score4.44
Rank#80  Overall
#9  Key-value stores
Score0.06
Rank#365  Overall
#55  Key-value stores
Websiteimpala.apache.orghbase.apache.orggithub.com/­hugegraph
hugegraph.apache.org
github.com/­STSSoft/­STSdb4
Technical documentationimpala.apache.org/­impala-docs.htmlhbase.apache.org/­book.htmlhugegraph.apache.org/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top-level project, originally developed by PowersetBaiduOpenSource, formerly Basho TechnologiesSTS Soft SC
Initial release20132008201820092011
Current release4.1.0, June 20222.3.4, January 20210.93.2.0, December 20224.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2Open Source infoApache Version 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaErlangC#
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
Linux
macOS
Unix
Linux
OS X
Windows
Data schemeyesschema-free, schema definition possibleyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesnoyes 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.nononono
Secondary indexesyesnoyes infoalso supports composite index and range indexrestrictedno
SQL infoSupport of SQLSQL-like DML and DDL statementsnononono
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
Native Erlang Interface
.NET Client API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C#
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoCoprocessors in Javaasynchronous Gremlin script jobsErlangno
Triggersnoyesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesvia hugegraph-sparkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers, roles and permissionsyes, using Riak Securityno

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More resources
Apache ImpalaHBaseHugeGraphRiak KVSTSdb
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