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DBMS > Databricks vs. HarperDB vs. Valentina Server

System Properties Comparison Databricks vs. HarperDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHarperDB  Xexclude from comparisonValentina Server  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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Object-relational database and reports server
Primary database modelDocument store
Relational DBMS
Document storeRelational 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
Score0.60
Rank#244  Overall
#38  Document stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.databricks.comwww.harperdb.iowww.valentina-db.net
Technical documentationdocs.databricks.comdocs.harperdb.io/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDatabricksHarperDBParadigma Software
Initial release201320171999
Current release3.1, August 20215.7.5
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.js
Server operating systemshostedLinux
OS X
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)dynamic schemayes
Typing infopredefined data types such as float or dateyes infoJSON data typesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like data manipulation statementsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ODBC
Supported programming languagesPython
R
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions and aggregatesCustom Functions infosince release 3.1yes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksHarperDBValentina Server
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksHarperDBValentina Server
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