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

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOpenTSDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A 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 modelDocument store
Relational DBMS
Relational 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
Score78.61
Rank#15  Overall
#2  Document stores
#10  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.databricks.comgithub.com/­heavyai/­heavydb
www.heavy.ai
opentsdb.netravendb.net
Technical documentationdocs.databricks.comdocs.heavy.aiopentsdb.net/­docs/­build/­html/­index.htmlravendb.net/­docs
DeveloperDatabricksHEAVY.AI, Inc.currently maintained by Yahoo and other contributorsHibernating Rhinos
Initial release2013201620112010
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 serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAJavaC#
Server operating systemshostedLinuxLinux
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnumeric 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.yesnono
Secondary indexesyesnonoyes
SQL infoSupport of SQLwith Databricks SQLyesnoSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
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 languagesPython
R
Scala
All 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 proceduresuser defined functions and aggregatesnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-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 integritynonono
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAuthorization levels configured per client per database
More information provided by the system vendor
DatabricksHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenTSDBRavenDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenTSDBRavenDB
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