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DBMS > Databricks vs. FeatureBase vs. Geode vs. Riak KV

System Properties Comparison Databricks vs. FeatureBase vs. Geode vs. Riak KV

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFeatureBase  Xexclude from comparisonGeode  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.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesDistributed, fault tolerant key-value store
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeKey-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
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.databricks.comwww.featurebase.comgeode.apache.org
Technical documentationdocs.databricks.comdocs.featurebase.comgeode.apache.org/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperDatabricksMolecula and Pilosa Open Source ContributorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.OpenSource, formerly Basho Technologies
Initial release2013201720022009
Current release2022, May 20221.1, February 20173.2.0, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen 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 languageGoJavaErlang
Server operating systemshostedLinux
macOS
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-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.yesnonono
Secondary indexesyesnonorestricted
SQL infoSupport of SQLwith Databricks SQLSQL queriesSQL-like query language (OQL)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
JDBC
Kafka Connector
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesPython
R
Scala
Java
Python
.Net
All JVM based languages
C++
Groovy
Java
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 functions and aggregatesuser defined functionsErlang
Triggersnoyes infoCache Event Listenersyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyes
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 per client and object definableyes, using Riak Security
More information provided by the system vendor
DatabricksFeatureBaseGeodeRiak KV
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksFeatureBaseGeodeRiak KV
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