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DBMS > Apache Drill vs. CockroachDB vs. Databricks vs. Riak KV

System Properties Comparison Apache Drill vs. CockroachDB vs. Databricks vs. Riak KV

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonCockroachDB  Xexclude from comparisonDatabricks  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.The 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, fault tolerant key-value store
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Relational DBMS
Key-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
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitedrill.apache.orgwww.cockroachlabs.comwww.databricks.com
Technical documentationdrill.apache.org/­docswww.cockroachlabs.com/­docsdocs.databricks.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software FoundationCockroach LabsDatabricksOpenSource, formerly Basho Technologies
Initial release2012201520132009
Current release1.20.3, January 202324.1.0, May 20243.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoErlang
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
hostedLinux
OS X
Data schemeschema-freedynamic schemaFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesno
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.nonoyesno
Secondary indexesnoyesyesrestricted
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyes, wire compatible with PostgreSQLwith Databricks SQLno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCJDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesC++C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Python
R
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
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions and aggregatesErlang
Triggersnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenono
User concepts infoAccess controlDepending on the underlying data sourceRole-based access controlyes, using Riak Security
More information provided by the system vendor
Apache DrillCockroachDBDatabricksRiak KV
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Apache DrillCockroachDBDatabricksRiak KV
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