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DBMS > Apache Impala vs. Memgraph vs. Quasardb vs. RethinkDB

System Properties Comparison Apache Impala vs. Memgraph vs. Quasardb vs. RethinkDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMemgraph  Xexclude from comparisonQuasardb  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn open source graph database built for real-time streaming and compatible with Neo4jDistributed, high-performance timeseries databaseDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSGraph DBMSTime Series DBMSDocument store
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Websiteimpala.apache.orgmemgraph.comquasar.airethinkdb.com
Technical documentationimpala.apache.org/­impala-docs.htmlmemgraph.com/­docsdoc.quasar.ai/­masterrethinkdb.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMemgraph LtdquasardbThe Linux Foundation infosince July 2017
Initial release2013201720092009
Current release4.1.0, June 20223.14.1, January 20242.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSL 1.1; commercial license for enterprise edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen 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++C and C++C++C++
Server operating systemsLinuxLinuxBSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-free and schema-optionalschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes infostring, binary, float, bool, date, geometry
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 indexesyesyes infowith tagsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
Bolt protocol
Cypher query language
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
TriggersnonoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningSharding infoconsistent hashingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using RAFTSource-replica replication with selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infoMVCC based
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers, roles and permissionsCryptographically strong user authentication and audit trailyes infousers and table-level permissions
More information provided by the system vendor
Apache ImpalaMemgraphQuasardbRethinkDB
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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Apache ImpalaMemgraphQuasardbRethinkDB
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