DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > H2GIS vs. HEAVY.AI vs. PieCloudDB vs. TinkerGraph

System Properties Comparison H2GIS vs. HEAVY.AI vs. PieCloudDB vs. TinkerGraph

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameH2GIS  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonPieCloudDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionSpatial extension of H2A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA cloud-native analytic database platform with new technologoy for elastic MPPA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelSpatial DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.32
Rank#289  Overall
#133  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.h2gis.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.openpie.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.h2gis.org/­docs/­homedocs.heavy.ai
DeveloperCNRSHEAVY.AI, Inc.OpenPie
Initial release201320162009
Current release5.10, January 20222.1, January 2023
License infoCommercial or Open SourceOpen Source infoLGPL 3.0Open Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ and CUDAJava
Server operating systemsLinuxhosted
Data schemeyesyesyesschema-free
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.nonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
CLI Client
JDBC
ODBC
TinkerPop 3
Supported programming languagesJavaAll languages supporting JDBC/ODBC/Thrift
Python
Java
PL/SQL
Python
R
Groovy
Java
Server-side scripts infoStored proceduresyes infobased on H2nouser defined functionsno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2Multi-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyes infobased on H2fine grained access rights according to SQL-standardUser Roles and pluggable authentication with full SQL Standardno
More information provided by the system vendor
H2GISHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022PieCloudDBTinkerGraph
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
H2GISHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022PieCloudDBTinkerGraph
Recent citations in the news

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
19 April 2023, Business Wire

Big Data Analytics: A Game Changer for Infrastructure
13 July 2023, Spiceworks News and Insights

HEAVY.AI Partners with Bain, Maxar, and Nvidia to Provide Digital Twins for Telecom Networks
16 February 2023, Datanami

Making the most of geospatial intelligence
14 April 2023, InfoWorld

The insideBIGDATA IMPACT 50 List for Q4 2023
11 October 2023, insideBIGDATA

provided by Google News

Unit testing Apache TinkerPop transactions: From TinkerGraph to Amazon Neptune | Amazon Web Services
3 June 2024, AWS Blog

Simple Deployment of a Graph Database: JanusGraph | by Edward Elson Kosasih
12 October 2020, Towards Data Science

Why developers like Apache TinkerPop, an open source framework for graph computing | Amazon Web Services
27 September 2021, AWS Blog

InfiniteGraph Gets Support for Common Graph Database Language and More
21 February 2012, SiliconANGLE News

Introducing Gremlin query hints for Amazon Neptune | AWS Database Blog
26 February 2019, AWS Blog

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here