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DBMS > Apache Impala vs. BigObject vs. CouchDB vs. Datomic vs. Interbase

System Properties Comparison Apache Impala vs. BigObject vs. CouchDB vs. Datomic vs. Interbase

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBigObject  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatomic  Xexclude from comparisonInterbase  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAnalytic DBMS for real-time computations and queriesA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityLight-weight proven RDBMS infooriginally from Borland
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Websiteimpala.apache.orgbigobject.iocouchdb.apache.orgwww.datomic.comwww.embarcadero.com/­products/­interbase
Technical documentationimpala.apache.org/­impala-docs.htmldocs.bigobject.iodocs.couchdb.org/­en/­stabledocs.datomic.comdocs.embarcadero.com/­products/­interbase
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBigObject, Inc.Apache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCognitectEmbarcadero
Initial release20132015200520121984
Current release4.1.0, June 20223.3.3, December 20231.0.6735, June 2023InterBase 2020, December 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree community edition availableOpen Source infoApache version 2commercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangJava, ClojureC
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Android
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAndroid
iOS
Linux
OS X
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonononono infoexport as XML data possible
Secondary indexesyesyesyes infovia viewsyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statementsnonoyes
APIs and other access methodsJDBC
ODBC
fluentd
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIRESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Clojure
Java
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceLuaView functions in JavaScriptyes infoTransaction Functionsyes infoInterbase procedure and trigger language
TriggersnonoyesBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoimproved architecture with release 2.0none infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersInterbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a single document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yes infostrategy: optimistic lockingyesyes infoMultiversion concurreny control
Durability infoSupport for making data persistentyesyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes inforecommended only for testing and developmentyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users can be defined per databasenofine grained access rights according to SQL-standard

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Apache ImpalaBigObjectCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatomicInterbase
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