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DBMS > Memgraph vs. Netezza vs. Quasardb vs. TDengine

System Properties Comparison Memgraph vs. Netezza vs. Quasardb vs. TDengine

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Editorial information provided by DB-Engines
NameMemgraph  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQuasardb  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn open source graph database built for real-time streaming and compatible with Neo4jData warehouse and analytics appliance part of IBM PureSystemsDistributed, high-performance timeseries databaseTime Series DBMS and big data platform
Primary database modelGraph DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitememgraph.comwww.ibm.com/­products/­netezzaquasar.aigithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationmemgraph.com/­docsdoc.quasar.ai/­masterdocs.tdengine.com
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMemgraph LtdIBMquasardbTDEngine, previously Taos Data
Initial release2017200020092019
Current release3.14.1, January 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL V3, also commercial editions available
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 and C++C++C
Server operating systemsLinuxLinux infoincluded in applianceBSD
Linux
OS X
Windows
Linux
Windows
Data schemeschema-free and schema-optionalyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.nonono
Secondary indexesyesyes infowith tagsno
SQL infoSupport of SQLnoyesSQL-like query languageStandard SQL with extensions for time-series applications
APIs and other access methodsBolt protocol
Cypher query language
JDBC
ODBC
OLE DB
HTTP APIJDBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesnono
Triggersnonoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioningShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTSource-replica replicationSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infowith snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlUsers, roles and permissionsUsers with fine-grained authorization conceptCryptographically strong user authentication and audit trailyes
More information provided by the system vendor
MemgraphNetezza infoAlso called PureData System for Analytics by IBMQuasardbTDengine
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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MemgraphNetezza infoAlso called PureData System for Analytics by IBMQuasardbTDengine
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