DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Datastax Enterprise vs. Ignite vs. Microsoft Access

System Properties Comparison Datastax Enterprise vs. Ignite vs. Microsoft Access

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionDataStax 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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelWide column storeKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.90
Rank#43  Overall
#4  Wide column stores
Score4.42
Rank#67  Overall
#11  Key-value stores
#37  Relational DBMS
Score141.01
Rank#9  Overall
#6  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseignite.apache.orgproducts.office.com/­en-us/­access
Technical documentationdocs.datastax.comapacheignite.readme.io/­docsmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperDataStaxApache Software FoundationMicrosoft
Initial release201120151992
Current release6.7, December 2018Apache Ignite 2.61902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java, .NetC++
Server operating systemsLinux
OS X
Linux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLANSI-99 for query and DML statements, subset of DDLyes infobut not compliant to any SQL standard
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
DAO
OLE DB
ADO.NET
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infosince Access 2010 using the ACE-engine
Triggersyesyes (cache interceptors and events)yes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users can be defined per objectSecurity Hooks for custom implementationsno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
Datastax EnterpriseIgniteMicrosoft Access
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» 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
Datastax EnterpriseIgniteMicrosoft Access
DB-Engines blog posts

MS Access drops in DB-Engines Ranking
2 May 2013, Paul Andlinger

Microsoft SQL Server regained rank 2 in the DB-Engines popularity ranking
3 December 2012, Matthias Gelbmann

New DB-Engines Ranking shows the popularity of database management systems
3 October 2012, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Graphileon to Support DataStax Enterprise Graph
17 June 2019, Business Wire

New Cloud-Native Platform DataStax Constellation Expected Q4 2019
21 May 2019, Virtualization Review

DataStax Announces Constellation, a Cloud-Native Data Platform
21 May 2019, Container Journal

DataStax Announces the 2019 Stax Awards and Partner of the Year Winners
23 May 2019, Business Wire

DataStax's path from Cassandra
30 May 2019, ZDNet

provided by Google News

GridGain In-Memory Computing Experts Share Knowledge and Insights at Industry Events
29 May 2019, GlobeNewswire

GridGain: Product Overview and Analysis - eWEEK
5 June 2019, eWeek

GridGain Data Lake Accelerator Powers Real-Time Analytics Across Combined Data Lake and Operational Data
12 June 2019, Yahoo Finance

GridGain Joins Cloud Native Computing Foundation
21 May 2019, GlobeNewswire

Hazelcast open source in-memory data grid secures $21.5 million funding, expands platform to real-time streaming data
18 June 2019, ZDNet

provided by Google News

Desk Operations Specialist - Fixed Income Trading - DRW
17 June 2019, Built In Chicago

Supply Chain Planner - Green Thumb Industries (GTI)
22 May 2019, Built In Chicago

4 methods to fix Unrecognized Database Format in MS Access
15 January 2019, Windows Report

Regional Humanitarian Program Manager- Jordan | Jobs
23 May 2019, HelpAge International

Distributed Performance and Availability Management Software Market 2025 : Global Services, Applications, Deployment Type, Regions and Opportunities
7 June 2019, Amazing Newspaper

provided by Google News

Job opportunities

DataStax Consultant
DataStax, Illinois

Cassandra Developer
Sandhills Publishing, Scottsdale, AZ

Solutions Architect
DataStax, Texas

Data Engineer
Green Dot Corporation, Pasadena, CA

Solution Architect - Northeast
DataStax, New York, NY

Data Science / ML Engineer
JP Morgan Chase, New York, NY

ETL / Spark Software Engineer
IBM, Research Triangle Park, NC

Junior Developer
Verizon, Temple Terrace, FL

Cloud Engineer - Systemized Intelligence Lab
Bridgewater Associates, New York, NY

Senior Software Engineer - Test Driven Development
JP Morgan Chase, Jersey City, NJ

Data Analyst- Corporate Banking - Denver, CO
U.S. Bank, Denver, CO

Data Analyst - Bloomberg Law
Bloomberg, Princeton, NJ

DATA ANALYST (Grant funded)
Montefiore Medical Center, Bronx, NY

Data Conversion Analyst
HCI Group, Washington, DC

Reporting Analyst
UnitedHealth Group, San Antonio, TX

jobs by Indeed




Share this page

Featured Products

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

RavenDB logo

Runs on Windows, Linux, Raspberry Pi. Easy to Operate, Fast Performance.
APIs for JS, .NET, Python.
Take a Free Download

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Present your product here