DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon DocumentDB vs. HEAVY.AI vs. Quasardb vs. Rockset vs. TinkerGraph

System Properties Comparison Amazon DocumentDB vs. HEAVY.AI vs. Quasardb vs. Rockset vs. TinkerGraph

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonQuasardb  Xexclude from comparisonRockset  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDistributed, high-performance timeseries databaseA scalable, reliable search and analytics service in the cloud, built on RocksDBA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument storeRelational DBMSTime Series DBMSDocument storeGraph DBMS
Secondary database modelsSpatial DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­heavyai/­heavydb
www.heavy.ai
quasar.airockset.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.heavy.aidoc.quasar.ai/­masterdocs.rockset.com
DeveloperHEAVY.AI, Inc.quasardbRockset
Initial release20192016200920192009
Current release5.10, January 20223.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++C++Java
Server operating systemshostedLinuxBSD
Linux
OS X
Windows
hosted
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binarydynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesyesnoyes infowith tagsall fields are automatically indexedno
SQL infoSupport of SQLnoyesSQL-like query languageRead-only SQL queries, including JOINsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
Thrift
Vega
HTTP APIHTTP RESTTinkerPop 3
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Go
Java
JavaScript (Node.js)
Python
Groovy
Java
Server-side scripts infoStored proceduresnonononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinSharding infoconsistent hashingAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replicationSource-replica replication with selectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailAccess rights for users and organizations can be defined via Rockset consoleno

More information provided by the system vendor

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
Amazon DocumentDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022QuasardbRocksetTinkerGraph
Recent citations in the news

A hybrid approach for homogeneous migration to an Amazon DocumentDB elastic cluster | Amazon Web Services
4 June 2024, AWS Blog

AWS announces Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service
16 May 2024, AWS Blog

Use LangChain and vector search on Amazon DocumentDB to build a generative AI chatbot | Amazon Web Services
20 May 2024, AWS Blog

Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services
29 November 2023, AWS Blog

AWS announces vector search for Amazon DocumentDB
29 November 2023, AWS Blog

provided by Google News

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

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

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

Record quasar is most luminous object in the universe
20 February 2024, EarthSky

Quasar Partners with PTC to Empower IoT Customers with High-Performance Data Solutions
11 September 2023, Datanami

QUASAR yacht (Bilgin, 46.8m, 2016)
3 July 2023, Boat International

Quasar ‘Clocks’ Show Universe Was Five Times Slower Soon after the Big Bang
4 July 2023, Lab Manager Magazine

Quasar Selected by National Renewable Energy Laboratory to Help with Energy System De-risking and Optimization
6 June 2023, PR Newswire

provided by Google News

Rockset upgrades database to meet the needs of AI hybrid search – Blocks and Files
20 May 2024, Blocks and Files

Rockset launches native support for hybrid vector and text search to power AI apps
16 May 2024, SiliconANGLE News

Rockset Announces Native Support for Hybrid Search to Power AI Apps
17 May 2024, Datanami

Data Management News for the Week of May 17; Updates from Anomalo, DataStax, Rockset & More
16 May 2024, Solutions Review

Rockset targets cost control with latest database update
31 January 2024, TechTarget

provided by Google News

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

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
26 February 2019, AWS Blog

provided by Google News



Share this page

Featured Products

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

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.

Present your product here