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DBMS > AntDB vs. HEAVY.AI vs. OpenTSDB vs. RavenDB

System Properties Comparison AntDB vs. HEAVY.AI vs. OpenTSDB vs. RavenDB

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOpenTSDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareScalable Time Series DBMS based on HBaseOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#303  Overall
#137  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlgithub.com/­heavyai/­heavydb
www.heavy.ai
opentsdb.netravendb.net
Technical documentationdocs.heavy.aiopentsdb.net/­docs/­build/­html/­index.htmlravendb.net/­docs
Social network pagesLinkedInTwitterFacebook
DeveloperAsiaInfo Technologies LimitedHEAVY.AI, Inc.currently maintained by Yahoo and other contributorsHibernating Rhinos
Initial release201620112010
Current release5.10, January 20225.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoLGPLOpen Source infoAGPL version 3, 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 CUDAJavaC#
Server operating systemsLinuxLinux
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsno
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.nono
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL2016 compliantyesnoSQL-like query language (RQL)
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
JDBC
ODBC
Thrift
Vega
HTTP API
Telnet API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Erlang
Go
Java
Python
R
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor infobased on HBaseMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBaseDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID, Cluster-wide transaction available
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-standardnoAuthorization levels configured per client per database
More information provided by the system vendor
AntDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenTSDBRavenDB
Specific characteristicsAntDB was initiated in 2008. On the core system of operators, AntDB provides online...
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Competitive advantagesHTAP mixed load: AntDB is a universal, enterprise-level distributed relational database,...
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Typical application scenariosAs the core software of large enterprise, AntDB supports multi-scenario deployment....
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Key customersChina Mobile, China Telecom, China Unicom, Aeon Life, China Mobile Tietong, CITIC...
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Market metricsMore than 1 billion subscribers in 24 provinces across China are served by AntDB...
» more
Licensing and pricing modelsCertificates and licenses CMMI5 Certificate licensed by CMMI Institute IT Product...
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More resources
AntDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenTSDBRavenDB
DB-Engines blog posts

AntDB: Answer to Database Evolution - Hyperconverged All-in-One Streaming Engine
22 June 2023,  Bei Mo, AntDB (sponsor) 

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Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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14 May 2021, The New Stack

Oren Eini on RavenDB, Including Consistency Guarantees and C# as the Implementation Language
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RavenDB Adds Graph Queries
15 May 2019, Datanami

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