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DBMS > Databricks vs. Memgraph vs. Riak KV vs. YDB

System Properties Comparison Databricks vs. Memgraph vs. Riak KV vs. YDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonMemgraph  Xexclude from comparisonRiak KV  Xexclude from comparisonYDB  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.An open source graph database built for real-time streaming and compatible with Neo4jDistributed, fault tolerant key-value storeA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument store
Relational DBMS
Graph DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesDocument store
Relational 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
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitewww.databricks.commemgraph.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.databricks.commemgraph.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestydb.tech/­en/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperDatabricksMemgraph LtdOpenSource, formerly Basho TechnologiesYandex
Initial release2013201720092019
Current release3.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++Erlang
Server operating systemshostedLinuxLinux
OS X
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free and schema-optionalschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesnoyes
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
Secondary indexesyesrestrictedyes
SQL infoSupport of SQLwith Databricks SQLnonoSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
HTTP API
Native Erlang Interface
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesPython
R
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
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
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesErlangno
Triggersyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioningSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTselectable replication factorActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infowith snapshot isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers, roles and permissionsyes, using Riak SecurityAccess rights defined for Yandex Cloud users
More information provided by the system vendor
DatabricksMemgraphRiak KVYDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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DatabricksMemgraphRiak KVYDB
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