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DBMS > Apache Impala vs. DataFS vs. Datomic vs. Galaxybase

System Properties Comparison Apache Impala vs. DataFS vs. Datomic vs. Galaxybase

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDataFS  Xexclude from comparisonDatomic  Xexclude from comparisonGalaxybase  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityScalable, ACID-compliant native distributed parallel graph platform
Primary database modelRelational DBMSObject oriented DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.07
Rank#377  Overall
#40  Graph DBMS
Websiteimpala.apache.orgnewdatabase.comwww.datomic.comgalaxybase.com
Technical documentationimpala.apache.org/­impala-docs.htmldev.mobiland.com/­Overview.xspdocs.datomic.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMobiland AGCognitectChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司
Initial release2013201820122017
Current release4.1.0, June 20221.1.263, October 20221.0.7075, December 2023Nov 20, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ClojureC and Java
Server operating systemsLinuxWindowsAll OS with a Java VMLinux
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesStrong typed schema
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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
VB.Net
Clojure
Java
Go
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoTransaction Functionsuser defined procedures and functions
Triggersnono, except callback-events from server when changes happenedBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and developmentyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosWindows-ProfilenoRole-based access control

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More resources
Apache ImpalaDataFSDatomicGalaxybase
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