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DBMS > Memgraph vs. SQL.JS vs. TigerGraph vs. Vertica

System Properties Comparison Memgraph vs. SQL.JS vs. TigerGraph vs. Vertica

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Editorial information provided by DB-Engines
NameMemgraph  Xexclude from comparisonSQL.JS  Xexclude from comparisonTigerGraph  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionAn open source graph database built for real-time streaming and compatible with Neo4jPort of SQLite to JavaScriptA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelGraph DBMSRelational DBMSGraph DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitememgraph.comsql.js.orgwww.tigergraph.comwww.vertica.com
Technical documentationmemgraph.com/­docssql.js.org/­documentation/­index.htmldocs.tigergraph.comvertica.com/­documentation
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMemgraph LtdAlon Zakai infoenhancements implemented by othersOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2017201220172005
Current release12.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Sourcecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaScriptC++C++
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
Data schemeschema-free and schema-optionalyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
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 indexesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoyes infoSQL-92 is not fully supportedSQL-like query language (GSQL)Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsBolt protocol
Cypher query language
JavaScript APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
JavaScriptC++
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnonoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioningnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infowith snapshot isolationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infowith periodic snapshot and write-ahead logging (WAL) of changesno infoexcept by serializing a db to a fileyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlUsers, roles and permissionsnoRole-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
MemgraphSQL.JSTigerGraphVertica infoOpenText™ Vertica™
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more
Cost-based models and subscription-based models are both available. One license is...
» more

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More resources
MemgraphSQL.JSTigerGraphVertica infoOpenText™ Vertica™
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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