DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Amazon DocumentDB vs. Apache Jena - TDB vs. Datastax Enterprise vs. Microsoft Azure AI Search

System Properties Comparison Amazon DocumentDB vs. Apache Jena - TDB vs. Datastax Enterprise vs. Microsoft Azure AI Search

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Search-as-a-service for web and mobile app development
Primary database modelDocument storeRDF storeWide column storeSearch engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score2.91
Rank#93  Overall
#3  RDF stores
Score4.82
Rank#65  Overall
#4  Wide column stores
Score5.75
Rank#58  Overall
#7  Search engines
Websiteaws.amazon.com/­documentdbjena.apache.org/­documentation/­tdb/­index.htmlwww.datastax.com/­products/­datastax-enterpriseazure.microsoft.com/­en-us/­services/­search
Technical documentationaws.amazon.com/­documentdb/­resourcesjena.apache.org/­documentation/­tdb/­index.htmldocs.datastax.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software Foundation infooriginally developed by HP LabsDataStaxMicrosoft
Initial release2019200020112015
Current release4.9.0, July 20236.8, April 2020V1
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJava
Server operating systemshostedAll OS with a Java VMLinux
OS X
hosted
Data schemeschema-freeyes infoRDF Schemasschema-freeyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL); Spark SQLno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
JavaC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyes infovia event handleryesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infono "single point of failure"Sharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID infoTDB Transactionsno infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesAccess control via Jena SecurityAccess rights for users can be defined per objectyes infousing Azure authentication
More information provided by the system vendor
Amazon DocumentDBApache Jena - TDBDatastax EnterpriseMicrosoft Azure AI Search
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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
Amazon DocumentDBApache Jena - TDBDatastax EnterpriseMicrosoft Azure AI Search
Recent citations in the news

Unlock the power of parallel indexing in Amazon DocumentDB
19 June 2024, AWS Blog

AWS announces Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service
16 May 2024, AWS Blog

Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0
15 April 2024, AWS Blog

Optimizing costs on Amazon DocumentDB using event-driven architecture and the AWS EventBridge Terraform module
23 August 2024, AWS Blog

Unlock the power of Amazon DocumentDB text search with real-world use cases
5 March 2024, AWS Blog

provided by Google News

Sparql Secrets In Jena-Fuseki
24 July 2022, Data Science Central

Extract and query knowledge graphs using Apache Jena (SPARQL Engine)
4 December 2019, Towards Data Science

Introducing Graph Store Protocol support for Amazon Neptune
2 August 2021, AWS Blog

A Semantic Knowledge Graph of European Mountain Value Chains
7 September 2024, Nature.com

6 Java Libraries for Machine Learning
3 October 2023, AIM

provided by Google News

DataStax Enterprise 4.0 Gives in-Memory Option to Cassandra
31 May 2024, Data Center Knowledge

DataStax previews new Hyper Converged Data Platform for enterprise AI
15 May 2024, VentureBeat

DataStax to launch AI-integrated data platforms HCDP & DSE 6.9
16 May 2024, IT Brief Asia

DataStax Launches New Hyper-Converged Data Platform Giving Enterprises the Complete Modern Data Center Suite Needed for AI in Production
15 May 2024, Business Wire

DataStax acquires the startup behind low-code AI builder Langflow
4 April 2024, TechCrunch

provided by Google News

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

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

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



Share this page

Featured Products

SingleStore logo

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

Milvus logo

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

RaimaDB logo

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

Present your product here