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DBMS > HEAVY.AI vs. Informix vs. Linter vs. YDB

System Properties Comparison HEAVY.AI vs. Informix vs. Linter vs. YDB

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInformix  Xexclude from comparisonLinter  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataRDBMS for high security requirementsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score18.85
Rank#35  Overall
#22  Relational DBMS
Score0.10
Rank#350  Overall
#153  Relational DBMS
Score0.34
Rank#285  Overall
#43  Document stores
#130  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­informixlinter.rugithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.heavy.aiinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
ydb.tech/­en/­docs
DeveloperHEAVY.AI, Inc.IBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.relex.ruYandex
Initial release2016198419902019
Current release5.10, January 202214.10.FC5, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercial infofree developer edition availablecommercialOpen Source infoApache 2.0; commercial license 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 CUDAC, C++ and JavaC and C++
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLyesyesyesSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyesyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Source-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authentication, authorization, and auditing controlsfine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InformixLinterYDB
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