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

DBMS > ClickHouse vs. Datastax Enterprise vs. Microsoft Access vs. Spark SQL

System Properties Comparison ClickHouse vs. Datastax Enterprise vs. Microsoft Access vs. Spark SQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexDataStax 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.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.)Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.27
Rank#91  Overall
#45  Relational DBMS
Score9.80
Rank#43  Overall
#4  Wide column stores
Score135.33
Rank#9  Overall
#6  Relational DBMS
Score16.34
Rank#36  Overall
#22  Relational DBMS
Websiteclickhouse.yandexwww.datastax.com/­products/­datastax-enterpriseproducts.office.com/­en-us/­accessspark.apache.org/­sql
Technical documentationclickhouse.yandex/­docsdocs.datastax.commsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperYandex LLCDataStaxMicrosoftApache Software Foundation
Initial release2016201119922014
Current releasev19.3.5, April 20196.7, December 20181902 (16.0.11328.20222), March 2019v2.4.3, May 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Scala
Server operating systemsLinux
OS X
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyes infobut not compliant to any SQL standardSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
DAO
OLE DB
ADO.NET
ODBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineno
Triggersyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes
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 can be defined per objectno infoa simple user-level security was built in till version Access 2003no
More information provided by the system vendor
ClickHouseDatastax EnterpriseMicrosoft AccessSpark SQL
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
ClickHouseDatastax EnterpriseMicrosoft AccessSpark SQL
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

Conferences and events

Spark Summit Europe 2019
Amsterdam, Netherlands, 15-17 October 2019

Recent citations in the news

ClickHouse Experiencing Explosive Growth in EU, US and Asia in Q1 2018
23 April 2018, PR Newswire

DataGrip Adds Cassandra Support
5 December 2018, iProgrammer

Yandex Launches Public Cloud Platform Yandex.Cloud | Markets Insider
5 September 2018, Markets Insider

Altinity Provides Cloud Version of ClickHouse on Kodiak Data MemCloud™
21 August 2017, PR Newswire

Altinity Welcomes New CEO Robert Hodges
17 January 2019, PRNewswire

provided by Google News

DataStax and VMware Expand Collaboration for Hybrid Cloud Solutions
6 August 2019, Yahoo Finance

The Journey to Hybrid Cloud with DataStax Enterprise
2 August 2019, Computerworld

MobilePay Capitalizes on Modern Apps With DataStax
29 July 2019, Yahoo Finance

DataStax: what is a 'progressive' cloud strategy? - Open Source Insider
7 August 2019, ComputerWeekly.com

DataStax Co-Founder and CTO to Discuss Accelerating Innovation and Development in a Cloud World
12 August 2019, Business Wire

provided by Google News

Azure gets some new features and enhancements for Archive Storage
19 August 2019, Neowin

Fix Microsoft Office Access error in loading DLL with these steps
16 August 2019, Windows Report

A Boeing Code Leak Exposes Security Flaws Deep in a 787's Guts
7 August 2019, WIRED

Software Developer - Science & Engineering Research, Wokingham, Berkshire
24 August 2019, Motor Trader

Regional Humanitarian Program Manager- Jordan RO | Jobs
18 August 2019, HelpAge International

provided by Google News

Intel Charges Spark Workloads with Optane Persistent Memory
30 July 2019, HPCwire

Intel Turbocharges Spark Workloads with Optane DCPMM
29 July 2019, Datanami

Accelerate Your Apache Spark with Intel Optane DC Persistent Memory
28 July 2019, insideHPC

Azul Systems Announces General Availability of Zing 19.07
31 July 2019, GlobeNewswire

Delta Lake gives Apache Spark data sets new powers
24 April 2019, InfoWorld

provided by Google News

Job opportunities

CDN Distributed Database Engineer, VIPER
Comcast, Denver, CO

Database Engineer
Jump Trading, Chicago, IL

Infrastructure Engineer
AppLovin, Palo Alto, CA

Core Systems Reliability Engineer
Cloudflare, Austin, TX

Cassandra / DataStax Administrator
Perficient, Minneapolis, MN

Enterprise Sales Manager - Midwest Major
DataStax, Illinois

Enterprise Sales Manager - Federal
DataStax, Washington, DC

Vice President, WW Services
DataStax, San Francisco Bay Area, CA

Data Engineer
Green Dot Corporation, Pasadena, CA

Programmer/Analyst
Connors State College, Oklahoma

Database Programmer
Systems Plus, Silver Spring, MD

MS Access Database Developer
CACI, Suitland, MD

Quality Review and Audit Lead Analyst
Cigna, United States

Wealth National Sales Project Manager
Comerica Bank, Connecticut

Big Data Software Engineer
JP Morgan Chase, Chicago, IL

Senior Data Engineer, Growth
Netflix, Los Gatos, CA

Data Engineer
Service Management Group, Inc., Kansas City, MO

Big Data Engineer
The Goal Inc., United States

Big Data Engineer
Oportun, San Carlos, CA

jobs by Indeed




Share this page

Featured Products

Neo4j logo

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

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Redis logo

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

Couchbase logo

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

Present your product here