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DBMS > Apache Impala vs. Datomic vs. GridGain vs. Interbase

System Properties Comparison Apache Impala vs. Datomic vs. GridGain vs. Interbase

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonGridGain  Xexclude from comparisonInterbase  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGridGain is an in-memory computing platform, built on Apache IgniteLight-weight proven RDBMS infooriginally from Borland
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
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
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Websiteimpala.apache.orgwww.datomic.comwww.gridgain.comwww.embarcadero.com/­products/­interbase
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.comwww.gridgain.com/­docs/­index.htmldocs.embarcadero.com/­products/­interbase
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectGridGain Systems, Inc.Embarcadero
Initial release2013201220071984
Current release4.1.0, June 20221.0.7075, December 2023GridGain 8.5.1InterBase 2020, December 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ClojureJava, C++, .NetC
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Solaris
Windows
Android
iOS
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno infoexport as XML data possible
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoTransaction Functionsyes (compute grid and cache interceptors can be used instead)yes infoInterbase procedure and trigger language
TriggersnoBy using transaction functionsyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersyes (replicated cache)Interbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes (compute grid and hadoop accelerator)no
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 datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny control
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 developmentyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
Apache ImpalaDatomicGridGainInterbase
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