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DBMS > Apache Impala vs. Datomic vs. HBase vs. Hypertable vs. SQream DB

System Properties Comparison Apache Impala vs. Datomic vs. HBase vs. Hypertable vs. SQream DB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonHBase  Xexclude from comparisonHypertable  Xexclude from comparisonSQream DB  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 durabilityWide-column store based on Apache Hadoop and on concepts of BigTableAn open source BigTable implementation based on distributed file systems such as Hadoopa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSRelational DBMSWide column storeWide column storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteimpala.apache.orgwww.datomic.comhbase.apache.orgsqream.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.comhbase.apache.org/­book.htmldocs.sqream.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectApache Software Foundation infoApache top-level project, originally developed by PowersetHypertable Inc.SQream Technologies
Initial release20132012200820092017
Current release4.1.0, June 20221.0.6735, June 20232.3.4, January 20210.9.8.11, March 20162022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoApache version 2Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ClojureJavaC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeyesyesschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROnoyes, ANSI Standard SQL Types
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 indexesyesyesnorestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLSQL-like DML and DDL statementsnononoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJava API
RESTful HTTP API
Thrift
C++ API
Thrift
.Net
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoTransaction Functionsyes infoCoprocessors in Javanouser defined functions in Python
TriggersnoBy using transaction functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
selectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
Apache ImpalaDatomicHBaseHypertableSQream DB
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