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DBMS > Databricks vs. Datomic vs. Heroic vs. LevelDB vs. ToroDB

System Properties Comparison Databricks vs. Datomic vs. Heroic vs. LevelDB vs. ToroDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Websitewww.databricks.comwww.datomic.comgithub.com/­spotify/­heroicgithub.com/­google/­leveldbgithub.com/­torodb/­server
Technical documentationdocs.databricks.comdocs.datomic.comspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperDatabricksCognitectSpotifyGoogle8Kdata
Initial release20132012201420112016
Current release1.0.6735, June 20231.23, February 2021
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoBSDOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC++Java
Server operating systemshostedAll OS with a Java VMIllumos
Linux
OS X
Windows
All OS with a Java 7 VM
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infostring, integer, double, boolean, date, object_id
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.yesnononono
Secondary indexesyesyesyes infovia Elasticsearchno
SQL infoSupport of SQLwith Databricks SQLnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesPython
R
Scala
Clojure
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsnono
TriggersBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentno
User concepts infoAccess controlnonoAccess rights for users and roles
More information provided by the system vendor
DatabricksDatomicHeroicLevelDBToroDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDatomicHeroicLevelDBToroDB
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