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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonMemgraph  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 networksAn open source graph database built for real-time streaming and compatible with Neo4jSearch-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
Graph DBMSSearch 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
Score3.00
Rank#102  Overall
#8  Graph 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-repositorymemgraph.comazure.microsoft.com/­en-us/­services/­searchterminusdb.com
Technical documentationimpala.apache.org/­impala-docs.htmlmemgraph.com/­docslearn.microsoft.com/­en-us/­azure/­searchterminusdb.github.io/­terminusdb/­#
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsMemgraph LtdMicrosoftDataChemist Ltd.
Initial release20132016201720152018
Current release4.1.0, June 20221703V111.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infoFree license availablecommercialOpen 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++JavaC and C++Prolog, Rust
Server operating systemsLinuxLinuxLinuxhostedLinux
Data schemeyesSchema and schema-less with LDAP viewsschema-free and schema-optionalyesyes
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.noyesnonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnononoSQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
LDAPBolt protocol
Cypher query language
RESTful HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindings.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
JavaScript
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionSharding infodynamic graph partitioningSharding infoImplicit feature of the cloud serviceGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication using RAFTyes infoImplicit feature of the cloud serviceJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACID infowith snapshot isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes 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 authenticationUsers, roles and permissionsyes infousing Azure authenticationRole-based access control
More information provided by the system vendor
Apache ImpalaAtos Standard Common RepositoryMemgraphMicrosoft Azure AI SearchTerminusDB infoformer name was DataChemist
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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Apache ImpalaAtos Standard Common RepositoryMemgraphMicrosoft Azure AI SearchTerminusDB infoformer name was DataChemist
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