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DBMS > Databricks vs. HarperDB vs. jBASE vs. Riak KV

System Properties Comparison Databricks vs. HarperDB vs. jBASE vs. Riak KV

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHarperDB  Xexclude from comparisonjBASE  Xexclude from comparisonRiak KV  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.A robust multi-value DBMS comprising development tools and middlewareDistributed, fault tolerant key-value store
Primary database modelDocument store
Relational DBMS
Document storeMultivalue DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
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
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.databricks.comwww.harperdb.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationdocs.databricks.comdocs.harperdb.io/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9www.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperDatabricksHarperDBRocket Software (formerly Zumasys)OpenSource, formerly Basho Technologies
Initial release2013201719912009
Current release3.1, August 20215.73.2.0, December 2022
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsErlang
Server operating systemshostedLinux
OS X
AIX
Linux
Windows
Linux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)dynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoJSON data typesoptionalno
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.yesnoyesno
Secondary indexesyesyesrestricted
SQL infoSupport of SQLwith Databricks SQLSQL-like data manipulation statementsEmbedded SQL for jBASE in BASICno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
HTTP API
Native Erlang Interface
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
Basic
Jabbascript
Java
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions and aggregatesCustom Functions infosince release 3.1yesErlang
Triggersnoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
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 rolesAccess rights can be defined down to the item levelyes, using Riak Security
More information provided by the system vendor
DatabricksHarperDBjBASERiak KV
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksHarperDBjBASERiak KV
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