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DBMS > Hawkular Metrics vs. HEAVY.AI vs. Memgraph vs. TDengine

System Properties Comparison Hawkular Metrics vs. HEAVY.AI vs. Memgraph vs. TDengine

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMemgraph  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source graph database built for real-time streaming and compatible with Neo4jTime Series DBMS and big data platform
Primary database modelTime Series DBMSRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitewww.hawkular.orggithub.com/­heavyai/­heavydb
www.heavy.ai
memgraph.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.heavy.aimemgraph.com/­docsdocs.tdengine.com
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperCommunity supported by Red HatHEAVY.AI, Inc.Memgraph LtdTDEngine, previously Taos Data
Initial release2014201620172019
Current release5.10, January 20223.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen 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 languageJavaC++ and CUDAC and C++C
Server operating systemsLinux
OS X
Windows
LinuxLinuxLinux
Windows
Data schemeschema-freeyesschema-free and schema-optionalyes
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 indexesnonono
SQL infoSupport of SQLnoyesnoStandard SQL with extensions for time-series applications
APIs and other access methodsHTTP RESTJDBC
ODBC
Thrift
Vega
Bolt protocol
Cypher query language
JDBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnonono
Triggersyes infovia Hawkular Alertingnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infoRound robinSharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replicationMulti-source replication using RAFTyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infowith snapshot isolation
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers, roles and permissionsyes
More information provided by the system vendor
Hawkular MetricsHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MemgraphTDengine
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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