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DBMS > Apache Impala vs. Datomic vs. Geode vs. Lovefield

System Properties Comparison Apache Impala vs. Datomic vs. Geode vs. Lovefield

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonGeode  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational 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
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score0.22
Rank#306  Overall
#138  Relational DBMS
Websiteimpala.apache.orgwww.datomic.comgeode.apache.orggoogle.github.io/­lovefield
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.comgeode.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Google
Initial release2013201220022014
Current release4.1.0, June 20221.0.7180, July 20241.1, February 20172.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ClojureJavaJavaScript
Server operating systemsLinuxAll OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesyesschema-freeyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (OQL)SQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJava Client API
Memcached protocol
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
.Net
All JVM based languages
C++
Groovy
Java
Scala
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoTransaction Functionsuser defined functionsno
TriggersnoBy using transaction functionsyes infoCache Event ListenersUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersMulti-source replicationnone
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights per client and object definableno

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More resources
Apache ImpalaDatomicGeodeLovefield
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