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DBMS > MarkLogic vs. Memgraph vs. Sphinx vs. TimescaleDB

System Properties Comparison MarkLogic vs. Memgraph vs. Sphinx vs. TimescaleDB

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonMemgraph  Xexclude from comparisonSphinx  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseAn open source graph database built for real-time streaming and compatible with Neo4jOpen source search engine for searching in data from different sources, e.g. relational databasesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Graph DBMSSearch engineTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score2.91
Rank#94  Overall
#7  Graph DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websitewww.progress.com/­marklogicmemgraph.comsphinxsearch.comwww.timescale.com
Technical documentationwww.progress.com/­marklogic/­documentationmemgraph.com/­docssphinxsearch.com/­docsdocs.timescale.com
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMarkLogic Corp.Memgraph LtdSphinx Technologies Inc.Timescale
Initial release2001201720012017
Current release11.0, December 20223.5.1, February 20232.15.0, May 2024
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++C
Server operating systemsLinux
OS X
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-free infoSchema can be enforcedschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or dateyesyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.yesnoyes
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infoSQL92noSQL-like query language (SphinxQL)yes infofull PostgreSQL SQL syntax
APIs and other access methodsJava 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
Proprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACID infowith snapshot isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyesno
User concepts infoAccess controlRole-based access control at the document and subdocument levelsUsers, roles and permissionsnofine grained access rights according to SQL-standard
More information provided by the system vendor
MarkLogicMemgraphSphinxTimescaleDB
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
MarkLogicMemgraphSphinxTimescaleDB
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Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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