DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Datastore vs. Ignite vs. Microsoft Azure SQL Database vs. RDF4J

System Properties Comparison Google Cloud Datastore vs. Ignite vs. Microsoft Azure SQL Database vs. RDF4J

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Database as a Service offering with high compatibility to Microsoft SQL ServerRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument storeKey-value store
Relational DBMS
Relational DBMSRDF store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.84
Rank#76  Overall
#11  Document stores
Score6.03
Rank#66  Overall
#9  Key-value stores
#36  Relational DBMS
Score86.32
Rank#14  Overall
#9  Relational DBMS
Score0.68
Rank#211  Overall
#9  RDF stores
Websitecloud.google.com/­datastoreignite.apache.orgazure.microsoft.com/­en-us/­services/­sql-databaserdf4j.org
Technical documentationcloud.google.com/­datastore/­docsapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlrdf4j.org/­documentation
DeveloperGoogleApache Software FoundationMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2008201520102004
Current releaseApache Ignite 2.6V12
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetC++Java
Server operating systemshostedLinux
OS X
Solaris
Windows
hostedLinux
OS X
Unix
Windows
Data schemeschema-freeyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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.noyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)ANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresusing Google App Engineyes (compute grid and cache interceptors can be used instead)Transact SQLyes
TriggersCallbacks using the Google Apps Engineyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes (replicated cache)yes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsfine grained access rights according to SQL-standardno

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
Google Cloud DatastoreIgniteMicrosoft Azure SQL Database infoformerly SQL AzureRDF4J infoformerly known as Sesame
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

show all

Recent citations in the news

Eureka emerges from stealth to secure cloud data stores with automation
12 January 2022, VentureBeat

How IIoT is Used by MachineMax, TIER Mobility, Bühler Group, Augury, and Port of Rotterdam: Case Studies
3 January 2022, Datamation

5 Channel Partner Program and MSP News Updates: 12 January 2022
12 January 2022, ChannelE2E

What's Changed: 2021 Gartner Magic Quadrant for Cloud Database Management Systems
13 January 2022, Solutions Review

The Basics of Serverless User Authentication
3 January 2022, Container Journal

provided by Google News

GridGain Launches Service to Recognize Non-Code Contributors to the Apache Ignite Community
9 December 2021, GlobeNewswire

First Apache Ignite Summit Energizes Global Audience
10 June 2021, GlobeNewswire

Data Warehouse Software Market Size And Forecast | BI360 Data Warehouse, Microsoft, Qlik Compose, Acho, Anzo, Apache Ignite – Industrial IT
12 January 2022, Industrial IT

GridGain Expands SaaS Portfolio, Makes GridGain Nebula Available to All Apache Ignite Users
28 October 2021, GlobeNewswire

Microsoft Releases Open Source Distributed Machine Learning Library
4 January 2022, iProgrammer

provided by Google News

Data 2022 outlook, part one: Will data clouds get easier? Will streaming get off its own island?
3 January 2022, ZDNet

Microsoft builds distributed ledger for Azure SQL database
26 May 2021, TechTarget

Microsoft's cloud-connected on-prem database: SQL Server 2022 rolls out in private preview
2 November 2021, ZDNet

How To Automate Tasks in Azure SQL Database
22 January 2021, Redmondmag.com

Azure SQL Database Ranked Among Top 3 Databases of 2020
14 January 2021, Visual Studio Magazine

provided by Google News

GraphDB 9.5 Offers Data Virtualization From Tables to Graphs and Back
9 December 2020, PRNewswire

provided by Google News

Job opportunities

Engineering Manager, Google Cloud Platform
Google, Mountain View, CA

Software Engineer - Core Data
Canva, Remote

Talent Acquisition
Altirnao, Paris, OR

Business Intelligence Analyst
CBT Nuggets, Eugene, OR

Cloud Engineer (US)
Redbrick Technologies Inc., Minneapolis, MN

23.Software Developer
Executive Software Guild (ESG), Remote

Director, Customer Success
GridGain, Foster City, CA

Director, Customer Success - Remote U.S. and Canada
GridGain Systems, Foster City, CA

Java Apache Camel Developer - C79099 5.4 Charlotte, NC
CapB InfoteK, Charlotte, NC

Performance Tester
Appian Infotech, Austin, TX

Data Analyst
Midtronics, Willowbrook, IL

Technical Support Engineering - Azure SQL Database (PaaS)
Microsoft, Charlotte, NC

SQL Developer
Tredence, Las Vegas, NV

Database developer
Intone Networks, Remote

Database Administrator
Kamehameha Schools, Honolulu, HI

jobs by Indeed



Share this page

Featured Products

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

Neo4j logo

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

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here