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DBMS > Apache Impala vs. Datomic vs. Hypertable vs. Kingbase

System Properties Comparison Apache Impala vs. Datomic vs. Hypertable vs. Kingbase

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonKingbase  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source BigTable implementation based on distributed file systems such as HadoopAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Websiteimpala.apache.orgwww.datomic.comwww.kingbase.com.cn
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectHypertable Inc.BeiJing KINGBASE Information technologies inc.
Initial release2013201220091999
Current release4.1.0, June 20221.0.7075, December 20230.9.8.11, March 2016V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ClojureC++C and Java
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonoyes
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoStandard with numerous extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIC++ API
Thrift
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoTransaction Functionsnouser defined functions
TriggersnoBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersselectable replication factor on file system levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and development
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnonofine grained access rights according to SQL-standard

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More resources
Apache ImpalaDatomicHypertableKingbase
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