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DBMS > Databricks vs. EJDB vs. Graph Engine vs. Heroic vs. Prometheus

System Properties Comparison Databricks vs. EJDB vs. Graph Engine vs. Heroic vs. Prometheus

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEJDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHeroic  Xexclude from comparisonPrometheus  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.Embeddable document-store database library with JSON representation of queries (in MongoDB style)A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOpen-source Time Series DBMS and monitoring system
Primary database modelDocument store
Relational DBMS
Document storeGraph DBMS
Key-value store
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.databricks.comgithub.com/­Softmotions/­ejdbwww.graphengine.iogithub.com/­spotify/­heroicprometheus.io
Technical documentationdocs.databricks.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.graphengine.io/­docs/­manualspotify.github.io/­heroicprometheus.io/­docs
DeveloperDatabricksSoftmotionsMicrosoftSpotify
Initial release20132012201020142015
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC.NET and CJavaGo
Server operating systemshostedserver-less.NETLinux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesNumeric data only
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.yesnonono infoImport of XML data possible
Secondary indexesyesnoyes infovia Elasticsearchno
SQL infoSupport of SQLwith Databricks SQLnononono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
in-process shared libraryRESTful HTTP APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
C++
F#
Visual Basic
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnono
More information provided by the system vendor
DatabricksEJDBGraph Engine infoformer name: TrinityHeroicPrometheus
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEJDBGraph Engine infoformer name: TrinityHeroicPrometheus
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