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DBMS > Graphite vs. HEAVY.AI vs. RDFox vs. SpaceTime vs. Vertica

System Properties Comparison Graphite vs. HEAVY.AI vs. RDFox vs. SpaceTime vs. Vertica

Editorial information provided by DB-Engines
NameGraphite  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRDFox  Xexclude from comparisonSpaceTime  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareHigh performance knowledge graph and semantic reasoning engineSpaceTime is a spatio-temporal DBMS with a focus on performance.Cloud 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 modelTime Series DBMSRelational DBMSGraph DBMS
RDF store
Spatial DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMSRelational DBMSRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.00
Rank#63  Overall
#4  Time Series DBMS
Score1.40
Rank#153  Overall
#71  Relational DBMS
Score0.23
Rank#296  Overall
#24  Graph DBMS
#13  RDF stores
Score0.00
Rank#388  Overall
#7  Spatial DBMS
Score10.02
Rank#42  Overall
#26  Relational DBMS
Websitegithub.com/­graphite-project/­graphite-webgithub.com/­heavyai/­heavydb
www.heavy.ai
www.oxfordsemantic.techwww.mireo.com/­spacetimewww.vertica.com
Technical documentationgraphite.readthedocs.iodocs.heavy.aidocs.oxfordsemantic.techvertica.com/­documentation
DeveloperChris DavisHEAVY.AI, Inc.Oxford Semantic TechnologiesMireoOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20062016201720202005
Current release5.10, January 20226.0, Septermber 202212.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++ and CUDAC++C++C++
Server operating systemsLinux
Unix
LinuxLinux
macOS
Windows
LinuxLinux
Data schemeyesyesyes infoRDF schemasyesYes, 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 dateNumeric data onlyyesyesyesyes
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 indexesnononoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoyesnoA subset of ANSI SQL is implementedFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsHTTP API
Sockets
JDBC
ODBC
Thrift
Vega
RESTful HTTP API
SPARQL 1.1
RESTful HTTP APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesJavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
C
Java
C#
C++
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnononoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnononoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinFixed-grid hypercubeshorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationreplication via a shared file systemReal-time block device replication (DRBD)Multi-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 methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infolockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardRoles, resources, and access typesyesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
GraphiteHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022RDFoxSpaceTimeVertica infoOpenText™ Vertica™
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