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

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

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMarkLogic  Xexclude from comparisonMemgraph  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopOperational and transactional Enterprise NoSQL databaseAn open source graph database built for real-time streaming and compatible with Neo4jDistributed, high-performance timeseries database
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Graph DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteimpala.apache.orgwww.marklogic.commemgraph.comquasar.ai
Technical documentationimpala.apache.org/­impala-docs.htmldocs.marklogic.commemgraph.com/­docsdoc.quasar.ai/­master
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMarkLogic Corp.Memgraph Ltdquasardb
Initial release2013200120172009
Current release4.1.0, June 202211.0, December 20223.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial inforestricted free version is availableOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C and C++C++
Server operating systemsLinuxLinux
OS X
Windows
LinuxBSD
Linux
OS X
Windows
Data schemeyesschema-free infoSchema can be enforcedschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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.noyesnono
Secondary indexesyesyesyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL92noSQL-like query language
APIs and other access methodsJDBC
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Bolt protocol
Cypher query language
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infovia XQuery or JavaScriptno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication using RAFTSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexesyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access control at the document and subdocument levelsUsers, roles and permissionsCryptographically strong user authentication and audit trail
More information provided by the system vendor
Apache ImpalaMarkLogicMemgraphQuasardb
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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More resources
Apache ImpalaMarkLogicMemgraphQuasardb
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