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DBMS > Databricks vs. EsgynDB vs. Geode vs. OpenQM

System Properties Comparison Databricks vs. EsgynDB vs. Geode vs. OpenQM

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonOpenQM infoalso called QM  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeMultivalue 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
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websitewww.databricks.comwww.esgyn.cngeode.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.databricks.comgeode.apache.org/­docs
DeveloperDatabricksEsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Rocket Software, originally Martin Phillips
Initial release2013201520021993
Current release1.1, February 20173.4-12
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoGPLv2, extended 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++, JavaJava
Server operating systemshostedLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes infowith some exceptions
Typing infopredefined data types such as float or dateyesyes
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.yesnonoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query language (OQL)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
Supported programming languagesPython
R
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Proceduresuser defined functionsyes
Triggersnoyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definableAccess rights can be defined down to the item level
More information provided by the system vendor
DatabricksEsgynDBGeodeOpenQM infoalso called QM
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEsgynDBGeodeOpenQM infoalso called QM
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