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DBMS > Databricks vs. Dgraph vs. IBM Cloudant vs. YugabyteDB

System Properties Comparison Databricks vs. Dgraph vs. IBM Cloudant vs. YugabyteDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDgraph  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonYugabyteDB  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.Distributed and scalable native Graph DBMSDatabase as a Service offering based on Apache CouchDBHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelDocument store
Relational DBMS
Graph DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score1.39
Rank#155  Overall
#15  Graph DBMS
Score2.85
Rank#95  Overall
#18  Document stores
Score2.48
Rank#108  Overall
#53  Relational DBMS
Websitewww.databricks.comdgraph.iowww.ibm.com/­products/­cloudantwww.yugabyte.com
Technical documentationdocs.databricks.comdgraph.io/­docscloud.ibm.com/­docs/­Cloudantdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperDatabricksDgraph Labs, Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Yugabyte Inc.
Initial release2013201620102017
Current release2.19, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageGoErlangC and C++
Server operating systemshostedLinux
OS X
Windows
hostedLinux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freedepending on used data model
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 indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnonoyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
RESTful HTTP/JSON APIJDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoView functions (Map-Reduce) in JavaScriptyes infosql, plpgsql, C
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftMulti-source replication
Source-replica replication
Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoatomic operations within a document possibleDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users can be defined per databaseyes
More information provided by the system vendor
DatabricksDgraphIBM CloudantYugabyteDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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DatabricksDgraphIBM CloudantYugabyteDB
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