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DBMS > Datastax Enterprise vs. GeoSpock vs. LevelDB vs. Microsoft Access

System Properties Comparison Datastax Enterprise vs. GeoSpock vs. LevelDB vs. Microsoft Access

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonGeoSpock  Xexclude from comparisonLevelDB  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.Spatial and temporal data processing engine for extreme data scaleEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMicrosoft 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 storeRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.82
Rank#43  Overall
#4  Wide column stores
Score0.13
Rank#269  Overall
#127  Relational DBMS
Score2.81
Rank#89  Overall
#16  Key-value stores
Score129.47
Rank#9  Overall
#6  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisegeospock.comgithub.com/­google/­leveldbproducts.office.com/­en-us/­access
Technical documentationdocs.datastax.comdocs.geospock.com/­Content/­Home.htmgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperDataStaxGeoSpockGoogleMicrosoft
Initial release201120111992
Current release6.7, December 20182.0, September 20191.22, May 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptC++C++
Server operating systemsLinux
OS X
hostedIllumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyestemporal, categoricalnoyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLANSI SQL for query only (using Presto)noyes infobut not compliant to any SQL standard
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBCC++ API
Go
Java infoThird party binding
Node.js infoThird party binding
Python infoThird party binding
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes infosince Access 2010 using the ACE-engine
Triggersyesnonoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Automatic shardingnonenone
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 methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnonoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes 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.yesno
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users can be defined per tablenono infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
Datastax EnterpriseGeoSpockLevelDBMicrosoft 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

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More resources
Datastax EnterpriseGeoSpockLevelDBMicrosoft Access
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