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DBMS > HEAVY.AI vs. Ignite vs. Qdrant vs. TigerGraph vs. TinkerGraph

System Properties Comparison HEAVY.AI vs. Ignite vs. Qdrant vs. TigerGraph vs. TinkerGraph

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIgnite  Xexclude from comparisonQdrant  Xexclude from comparisonTigerGraph  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A high-performance vector database with neural network or semantic-based matchingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSKey-value store
Relational DBMS
Vector DBMSGraph DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
ignite.apache.orggithub.com/­qdrant/­qdrant
qdrant.tech
www.tigergraph.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.heavy.aiapacheignite.readme.io/­docsqdrant.tech/­documentationdocs.tigergraph.com
DeveloperHEAVY.AI, Inc.Apache Software FoundationQdrant
Initial release20162015202120172009
Current release5.10, January 2022Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++, Java, .NetRustC++Java
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleanyesyes
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.noyesnonono
Secondary indexesnoyesyes infoKeywords, numberic ranges, geo, full-textno
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLnoSQL-like query language (GSQL)no
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Java
Groovy
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesno
Triggersnoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)Collection-level replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistencynone
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsKey-based authenticationRole-based access controlno

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IgniteQdrantTigerGraphTinkerGraph
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New TigerGraph CEO Refocuses Efforts on Enterprise Customers
31 July 2023, Datanami

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