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DBMS > Apache Impala vs. Datastax Enterprise vs. Microsoft Access vs. OrientDB

System Properties Comparison Apache Impala vs. Datastax Enterprise vs. Microsoft Access vs. OrientDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDataStax 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.)Multi-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSWide column storeRelational DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score6.31
Rank#57  Overall
#4  Wide column stores
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score3.27
Rank#97  Overall
#16  Document stores
#6  Graph DBMS
#15  Key-value stores
Websiteimpala.apache.orgwww.datastax.com/­products/­datastax-enterprisewww.microsoft.com/­en-us/­microsoft-365/­accessorientdb.org
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datastax.comdeveloper.microsoft.com/­en-us/­accesswww.orientdb.com/­docs/­last/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDataStaxMicrosoftOrientDB LTD; CallidusCloud; SAP
Initial release2013201119922010
Current release4.1.0, June 20226.8, April 20201902 (16.0.11328.20222), March 20193.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++Java
Server operating systemsLinuxLinux
OS X
Windows infoNot a real database server, but making use of DLLsAll OS with a Java JDK (>= JDK 6)
Data schemeyesschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
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 indexesyesyesyesyes
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, no joins
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
DAO
ODBC
OLE DB
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infosince Access 2010 using the ACE-engineJava, Javascript
Triggersnoyesyes infosince Access 2010 using the ACE-engineHooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynonoyesyes inforelationship in graphs
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
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per objectno infoa simple user-level security was built in till version Access 2003Access rights for users and roles; record level security configurable
More information provided by the system vendor
Apache ImpalaDatastax EnterpriseMicrosoft AccessOrientDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
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Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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Licensing and pricing modelsAnnual subscription
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Apache ImpalaDatastax EnterpriseMicrosoft AccessOrientDB
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