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DBMS > eXtremeDB vs. SQL.JS vs. TigerGraph vs. Vertica vs. Vitess

System Properties Comparison eXtremeDB vs. SQL.JS vs. TigerGraph vs. Vertica vs. Vitess

Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonSQL.JS  Xexclude from comparisonTigerGraph  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringPort 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.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSGraph DBMSRelational DBMS infoColumn orientedRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series 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
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.mcobject.comsql.js.orgwww.tigergraph.comwww.vertica.comvitess.io
Technical documentationwww.mcobject.com/­docs/­extremedb.htmsql.js.org/­documentation/­index.htmldocs.tigergraph.comvertica.com/­documentationvitess.io/­docs
DeveloperMcObjectAlon Zakai infoenhancements implemented by othersOpenText infopreviously Micro Focus and Hewlett PackardThe Linux Foundation, PlanetScale
Initial release20012012201720052013
Current release8.2, 202112.0.3, January 202315.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Sourcecommercialcommercial infoLimited community edition freeOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaScriptC++C++Go
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)LinuxLinuxDocker
Linux
macOS
Data schemeyesyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.yes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.no infosupport of XML interfaces availablenonono
Secondary indexesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.yes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLyes infoSQL-92 is not fully supportedSQL-like query language (GSQL)Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.yes infowith proprietary extensions
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
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
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
JavaScriptC++
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnoyesyes, PostgreSQL PL/pgSQL, with minor differencesyes infoproprietary syntax
Triggersyes infoby defining eventsnonoyes, called Custom Alertsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingnonehorizontal partitioning, hierarchical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
noneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesyes infoRelationships in graphsyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesno infoexcept by serializing a db to a fileyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes
User concepts infoAccess controlnoRole-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
eXtremeDBSQL.JSTigerGraphVertica infoOpenText™ Vertica™Vitess
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Cost-based models and subscription-based models are both available. One license is...
» more

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More resources
eXtremeDBSQL.JSTigerGraphVertica infoOpenText™ Vertica™Vitess
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