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DBMS > HEAVY.AI vs. OpenMLDB vs. ScyllaDB vs. TerminusDB

System Properties Comparison HEAVY.AI vs. OpenMLDB vs. ScyllaDB vs. TerminusDB

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOpenMLDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open-source machine learning database that provides a feature platform for training and inferenceCassandra and DynamoDB compatible wide column storeScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSTime Series DBMSWide column storeGraph DBMS
Secondary database modelsSpatial DBMSRelational DBMSKey-value storeDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Score0.19
Rank#311  Overall
#27  Graph DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
openmldb.aiwww.scylladb.comterminusdb.com
Technical documentationdocs.heavy.aiopenmldb.ai/­docs/­zh/­maindocs.scylladb.comterminusdb.github.io/­terminusdb/­#
DeveloperHEAVY.AI, Inc.4 Paradigm Inc.ScyllaDBDataChemist Ltd.
Initial release2016202020152018
Current release5.10, January 20222024-2 February 2024ScyllaDB Open Source 6.0.2, July 202411.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen SourceOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++ and CUDAC++, Java, ScalaC++Prolog, Rust
Server operating systemsLinuxLinuxLinuxLinux
Data schemeyesFixed schemaschema-freeyes
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 indexesnoyesyes infocluster global secondary indices
SQL infoSupport of SQLyesyesSQL-like DML and DDL statements (CQL)SQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
SQLAlchemy
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Go
Java
Python
Scala
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes, Luayes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioningShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possibleJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users can be defined per objectRole-based access control
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenMLDBScyllaDBTerminusDB infoformer name was DataChemist
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenMLDBScyllaDBTerminusDB infoformer name was DataChemist
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