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DBMS > Databricks vs. Geode vs. SingleStore vs. STSdb vs. XTDB

System Properties Comparison Databricks vs. Geode vs. SingleStore vs. STSdb vs. XTDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGeode  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSTSdb  Xexclude from comparisonXTDB infoformerly named Crux  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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMSKey-value storeDocument store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Score0.13
Rank#330  Overall
#45  Document stores
Websitewww.databricks.comgeode.apache.orgwww.singlestore.comgithub.com/­STSSoft/­STSdb4github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.databricks.comgeode.apache.org/­docsdocs.singlestore.comwww.xtdb.com/­docs
DeveloperDatabricksOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.SingleStore Inc.STS Soft SCJuxt Ltd.
Initial release20132002201320112019
Current release1.1, February 20178.5, January 20244.0.8, September 20151.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree developer edition availableOpen Source infoGPLv2, commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, GoC#Clojure
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux info64 bit version requiredWindowsAll OS with a Java 8 (and higher) VM
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes, extensible-data-notation format
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 indexesyesnoyesnoyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query language (OQL)yes infobut no triggers and foreign keysnolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
.NET Client APIHTTP REST
JDBC
Supported programming languagesPython
R
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
Java
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyesnono
Triggersyes infoCache Event Listenersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationSource-replica replication infostores two copies of each physical data partition on two separate nodesnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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 definableFine grained access control via users, groups and rolesno
More information provided by the system vendor
DatabricksGeodeSingleStore infoformer name was MemSQLSTSdbXTDB infoformerly named Crux
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGeodeSingleStore infoformer name was MemSQLSTSdbXTDB infoformerly named Crux
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