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DBMS > Datastax Enterprise vs. FaunaDB vs. IBM Db2 Event Store vs. Microsoft Access vs. QuestDB

System Properties Comparison Datastax Enterprise vs. FaunaDB vs. IBM Db2 Event Store vs. Microsoft Access vs. QuestDB

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonFaunaDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuestDB  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.Strongly consistent database capable of global horizontal scale with a focus on operational simplicityDistributed Event Store optimized for Internet of Things use casesMicrosoft 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 modelWide column storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Event Store
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.48
Rank#45  Overall
#4  Wide column stores
Score0.98
Rank#154  Overall
#23  Document stores
#10  Graph DBMS
#76  Relational DBMS
#9  Time Series DBMS
Score0.30
Rank#240  Overall
#2  Event Stores
#14  Time Series DBMS
Score128.06
Rank#9  Overall
#6  Relational DBMS
Score0.18
Rank#261  Overall
#19  Time Series DBMS
Websitewww.datastax.com/­products/­datastax-enterprisefauna.comwww.ibm.com/­products/­db2-event-storeproducts.office.com/­en-us/­accesswww.questdb.io
Technical documentationdocs.datastax.comfauna.com/­documentationwww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_1.1.2/­eventstore/­welcome.htmlmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxwww.questdb.io/­docs/­docstructure
DeveloperDataStaxFauna, Inc.IBMMicrosoftQuestDB Limited
Initial release20112014201719922014
Current release6.7, December 20181.1.31902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availablecommercial infoBundled with Microsoft OfficeOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaC++, ScalaC++Java
Server operating systemsLinux
OS X
LinuxLinux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLsLinux
macOS
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoyes infothrough the embedded Spark runtimeyes infobut not compliant to any SQL standardSQL-like query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP APIJDBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Java
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Server-side scripts infoStored proceduresnouser defined functionsnoyes infosince Access 2010 using the ACE-engineno
Triggersyesnonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"horizontal partitioning infoconsistent hashingShardingnonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMasterlessActive-active shard replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDnoACID infobut no files for transaction loggingACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replicationyes 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.yesnoyesno
User concepts infoAccess controlAccess rights for users can be defined per objectIdentity management, authentication, and access controlUser level access controlno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
Datastax EnterpriseFaunaDBIBM Db2 Event StoreMicrosoft AccessQuestDB
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Serverless cloud database for modern applications Native GraphQL API High performance...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Document-relational interface: combines flexibility in modeling with flexibility...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Modern Javascript Apps Identity management Multi-tenant SaaS backend Social content...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Nextdoor ShiftX
» 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 EnterpriseFaunaDBIBM Db2 Event StoreMicrosoft AccessQuestDB
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