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DBMS > Databricks vs. EDB Postgres vs. Fauna vs. LMDB

System Properties Comparison Databricks vs. EDB Postgres vs. Fauna vs. LMDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEDB Postgres  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonLMDB  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.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.A high performant, light-weight, embedded key-value database library
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value store
Secondary database modelsDocument store
Spatial 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
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Websitewww.databricks.comwww.enterprisedb.comfauna.comwww.symas.com/­symas-embedded-database-lmdb
Technical documentationdocs.databricks.comwww.enterprisedb.com/­docsdocs.fauna.comwww.lmdb.tech/­doc
DeveloperDatabricksEnterpriseDBFauna, Inc.Symas
Initial release2013200520142011
Current release14, December 20210.9.32, January 2024
License infoCommercial or Open Sourcecommercialcommercial infoBSD for PostgreSQL-componentscommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaC
Server operating systemshostedLinux
Windows
hostedLinux
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesno
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.yesyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLyes infostandard with numerous extensionsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesPython
R
Scala
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangehorizontal partitioning infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardIdentity management, authentication, and access controlno
More information provided by the system vendor
DatabricksEDB PostgresFauna infopreviously named FaunaDBLMDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEDB PostgresFauna infopreviously named FaunaDBLMDB
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