DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

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

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

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonEJDB  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 networksEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Search-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
Document storeSearch engineGraph DBMS
Secondary database modelsDocument storeVector DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.13
Rank#331  Overall
#46  Document stores
Score5.75
Rank#58  Overall
#7  Search engines
Score0.19
Rank#311  Overall
#27  Graph DBMS
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­Softmotions/­ejdbazure.microsoft.com/­en-us/­services/­searchterminusdb.com
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdlearn.microsoft.com/­en-us/­azure/­searchterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsSoftmotionsMicrosoftDataChemist Ltd.
Initial release20132016201220152018
Current release4.1.0, June 20221703V111.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPLv2commercialOpen 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++JavaCProlog, Rust
Server operating systemsLinuxLinuxserver-lesshostedLinux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalyes infostring, integer, double, bool, date, object_idyesyes
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.noyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnononoSQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
LDAPin-process shared libraryRESTful HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
Java
JavaScript
Python
JavaScript
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionnoneSharding infoImplicit feature of the cloud serviceGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnoneyes 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 Consistency
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes
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.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationnoyes infousing Azure authenticationRole-based access control

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache ImpalaAtos Standard Common RepositoryEJDBMicrosoft Azure AI SearchTerminusDB infoformer name was DataChemist
Recent citations in the news

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Cloudera brings Apache Iceberg data lake format to its Data Platform
30 June 2022, SiliconANGLE News

Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop
12 March 2017, Uber

Updates & Upserts in Hadoop Ecosystem with Apache Kudu
27 October 2017, KDnuggets

provided by Google News

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4 April 2024, Microsoft

Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard)
2 April 2024, Microsoft

From code to production: New ways Azure helps you build transformational AI experiences
21 May 2024, Microsoft

Boost your AI with Azure's new Phi model, streamlined RAG, and custom generative AI models
22 August 2024, Microsoft

Microsoft boosts Azure AI Search with more storage and support for big RAG apps
5 April 2024, VentureBeat

provided by Google News

How TerminusDB is commercializing its open source graph database
16 March 2021, VentureBeat

Trinity College spinout TerminusDB secures €3.6m in investment
15 March 2021, The Irish Times

Bus Terminus Update – April 26th
26 April 2021, Around DB and Life on Lantau

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Present your product here