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DBMS > Apache Impala vs. Atos Standard Common Repository vs. GridGain vs. Microsoft Azure AI Search vs. TerminusDB

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. GridGain vs. Microsoft Azure AI Search vs. TerminusDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGridGain is an in-memory computing platform, built on Apache IgniteSearch-as-a-service for web and mobile app developmentScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSDocument store
Key-value store
Key-value store
Relational DBMS
Search engineGraph DBMS
Secondary database modelsDocument storeVector DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Score0.22
Rank#323  Overall
#28  Graph DBMS
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gridgain.comazure.microsoft.com/­en-us/­services/­searchterminusdb.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­en-us/­azure/­searchterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsGridGain Systems, Inc.MicrosoftDataChemist Ltd.
Initial release20132016200720152018
Current release4.1.0, June 20221703GridGain 8.5.1V111.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava, C++, .NetProlog, Rust
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
hostedLinux
Data schemeyesSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoANSI-99 for query and DML statements, subset of DDLnoSQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
LDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
JavaScript
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes (compute grid and cache interceptors can be used instead)noyes
Triggersnoyesyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingSharding infoImplicit feature of the cloud serviceGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes (replicated cache)yes infoImplicit feature of the cloud serviceJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationSecurity Hooks for custom implementationsyes infousing Azure authenticationRole-based access control

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More resources
Apache ImpalaAtos Standard Common RepositoryGridGainMicrosoft Azure AI SearchTerminusDB infoformer name was DataChemist
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