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DBMS > Datastax Enterprise vs. Microsoft Access vs. TimescaleDB

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

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTimescaleDB  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.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.)A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelWide column storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.90
Rank#43  Overall
#4  Wide column stores
Score141.01
Rank#9  Overall
#6  Relational DBMS
Score1.11
Rank#136  Overall
#8  Time Series DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseproducts.office.com/­en-us/­accesswww.timescale.com
Technical documentationdocs.datastax.commsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxdocs.timescale.com
DeveloperDataStaxMicrosoftTimescale
Initial release201119922017
Current release6.7, December 20181902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
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++C
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 dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 SQLyes infobut not compliant to any SQL standardyes infofull PostgreSQL SQL syntax
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
DAO
OLE DB
ADO.NET
ODBC
native C library
streaming API for large objects
ADO.NET
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneMaster-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
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 integritynoyesyes
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 loggingACID
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 2003fine grained access rights according to SQL-standard
More information provided by the system vendor
Datastax EnterpriseMicrosoft AccessTimescaleDB
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
TimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
1 million+ downloads, 6,500+ Github stars
» more
Licensing and pricing modelsAnnual subscription
» more
Apache 2 and Timescale License (TSL); information on pricing for support and enterprise...
» more

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More resources
Datastax EnterpriseMicrosoft AccessTimescaleDB
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