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DBMS > BigObject vs. Datastax Enterprise vs. Microsoft Access vs. QuestDB

System Properties Comparison BigObject vs. Datastax Enterprise vs. Microsoft Access vs. QuestDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesDataStax 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 high performance, low latency Time Series DBMS
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedWide 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
Score0.05
Rank#317  Overall
#134  Relational DBMS
Score8.09
Rank#46  Overall
#4  Wide column stores
Score121.92
Rank#10  Overall
#7  Relational DBMS
Score0.18
Rank#264  Overall
#20  Time Series DBMS
Websitewww.bigobject.iowww.datastax.com/­products/­datastax-enterpriseproducts.office.com/­en-us/­accesswww.questdb.io
Technical documentationdocs.bigobject.iodocs.datastax.commsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxwww.questdb.io/­docs/­docstructure
DeveloperBigObject, Inc.DataStaxMicrosoftQuestDB Limited
Initial release2015201119922014
Current release6.7, December 20181902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL); Spark SQLyes infobut not compliant to any SQL standardSQL-like query language
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Server-side scripts infoStored proceduresLuanoyes infosince Access 2010 using the ACE-engineno
Triggersnoyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"nonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACID infobut no files for transaction loggingACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesyesno
User concepts infoAccess controlnoAccess rights for users can be defined per objectno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
BigObjectDatastax EnterpriseMicrosoft AccessQuestDB
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
BigObjectDatastax EnterpriseMicrosoft AccessQuestDB
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