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

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

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonGRAKN.AI  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.Grakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Distributed 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 storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
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
Score0.27
Rank#249  Overall
#19  Graph DBMS
#116  Relational 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-enterprisegrakn.aiwww.ibm.com/­products/­db2-event-storeproducts.office.com/­en-us/­accesswww.questdb.io
Technical documentationdocs.datastax.comdev.grakn.ai/­docswww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_1.1.2/­eventstore/­welcome.htmlmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxwww.questdb.io/­docs/­docstructure
DeveloperDataStaxGrakn Labs LtdIBMMicrosoftQuestDB Limited
Initial release20112016201719922014
Current release6.7, December 20181.6.2, January 20201.1.31902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 3, commercial licenses availablecommercial 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

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Implementation languageJavaJavaC++, ScalaC++Java
Server operating systemsLinux
OS X
Linux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLsLinux
macOS
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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
console (shell)
gRPC protocol
Workbase (visualisation software)
JDBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Java
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Server-side scripts infoStored proceduresnononoyes 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"Sharding infoby using CassandraShardingnonehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMaster-master replication infoby using CassandraActive-active shard replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoby using Apache Kafka and Apache Zookeepernonono
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 integritynono infosubstituted by the relationship featurenoyesno
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 objectyes infoat REST API level; other APIs in progressUser level access controlno infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
Datastax EnterpriseGRAKN.AIIBM Db2 Event StoreMicrosoft AccessQuestDB
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Grakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Expressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Life sciences : Grakn makes working with biological data much easier and accelerates...
» 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
AGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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More resources
Datastax EnterpriseGRAKN.AIIBM Db2 Event StoreMicrosoft AccessQuestDB
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