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DBMS > Apache Impala vs. Datomic vs. GridGain vs. IBM Cloudant

System Properties Comparison Apache Impala vs. Datomic vs. GridGain vs. IBM Cloudant

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonGridGain  Xexclude from comparisonIBM Cloudant  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 IgniteDatabase as a Service offering based on Apache CouchDB
Primary database modelRelational DBMSRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score2.85
Rank#95  Overall
#18  Document stores
Websiteimpala.apache.orgwww.datomic.comwww.gridgain.comwww.ibm.com/­products/­cloudant
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.comwww.gridgain.com/­docs/­index.htmlcloud.ibm.com/­docs/­Cloudant
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectGridGain Systems, Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release2013201220072010
Current release4.1.0, June 20221.0.7180, July 2024GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freecommercial, open sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, ClojureJava, C++, .Net, Python, REST, SQLErlang
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Solaris
Windows
z/OS
hosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Objective-C
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)View functions (Map-Reduce) in JavaScript
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 peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersyes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes (compute grid and hadoop accelerator)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic locking
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 developmentyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoRole-based access control
Security Hooks for custom implementations
Access rights for users can be defined per database

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More resources
Apache ImpalaDatomicGridGainIBM Cloudant
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