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

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

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBadger  Xexclude from comparisonDatomic  Xexclude from comparisonGalaxybase  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.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 DBMSKey-value storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.14
Rank#328  Overall
#48  Key-value stores
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
Websiteimpala.apache.orggithub.com/­dgraph-io/­badgerwww.datomic.comgalaxybase.com
Technical documentationimpala.apache.org/­impala-docs.htmlgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDGraph LabsCognitectChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司
Initial release2013201720122017
Current release4.1.0, June 20221.0.7180, July 2024Nov 20, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial 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++GoJava, ClojureC and Java
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Data schemeyesschema-freeyesStrong typed schema
Typing infopredefined data types such as float or dateyesnoyesyes
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
RESTful HTTP APIBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBCGoClojure
Java
Go
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infoTransaction Functionsuser defined procedures and functions
TriggersnonoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenone 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 ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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 KerberosnonoRole-based access control

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More resources
Apache ImpalaBadgerDatomicGalaxybase
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