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DBMS > Apache Impala vs. Badger vs. HBase vs. Oracle vs. RocksDB

System Properties Comparison Apache Impala vs. Badger vs. HBase vs. Oracle vs. RocksDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBadger  Xexclude from comparisonHBase  Xexclude from comparisonOracle  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Wide-column store based on Apache Hadoop and on concepts of BigTableWidely used RDBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSKey-value storeWide column storeRelational DBMSKey-value store
Secondary database modelsDocument storeDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Websiteimpala.apache.orggithub.com/­dgraph-io/­badgerhbase.apache.orgwww.oracle.com/­databaserocksdb.org
Technical documentationimpala.apache.org/­impala-docs.htmlgodoc.org/­github.com/­dgraph-io/­badgerhbase.apache.org/­book.htmldocs.oracle.com/­en/­databasegithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDGraph LabsApache Software Foundation infoApache top-level project, originally developed by PowersetOracleFacebook, Inc.
Initial release20132017200819802013
Current release4.1.0, June 20222.3.4, January 202123c, September 20239.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache version 2commercial inforestricted free version is availableOpen Source infoBSD
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 languageC++GoJavaC and C++C++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
Data schemeyesschema-freeschema-free, schema definition possibleyes infoSchemaless in JSON and XML columnsschema-free
Typing infopredefined data types such as float or dateyesnooptions to bring your own types, AVROyesno
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.nononoyesno
Secondary indexesyesnonoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infowith proprietary extensionsno
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBCGoC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infoCoprocessors in JavaPL/SQL infoalso stored procedures in Java possibleno
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding, horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoSingle row ACID (across millions of columns)ACID infoisolation level can be parameterizedyes
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.nonoyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
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 & ABACfine grained access rights according to SQL-standardno

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More resources
Apache ImpalaBadgerHBaseOracleRocksDB
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