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DBMS > Databricks vs. GigaSpaces vs. OpenEdge vs. VictoriaMetrics

System Properties Comparison Databricks vs. GigaSpaces vs. OpenEdge vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGigaSpaces  Xexclude from comparisonOpenEdge  Xexclude from comparisonVictoriaMetrics  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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsApplication development environment with integrated database management systemA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.databricks.comwww.gigaspaces.comwww.progress.com/­openedgevictoriametrics.com
Technical documentationdocs.databricks.comdocs.gigaspaces.com/­latest/­landing.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperDatabricksGigaspaces TechnologiesProgress Software CorporationVictoriaMetrics
Initial release2013200019842018
Current release15.5, September 2020OpenEdge 12.2, March 2020v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetGo
Server operating systemshostedLinux
macOS
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
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.yesno infoXML can be used for describing objects metadatayesno
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-99 for query and DML statementsyes infoclose to SQL 92no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesPython
R
Scala
.Net
C++
Java
Python
Scala
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyesno
Triggersyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.noyesnono
User concepts infoAccess controlRole-based access controlUsers and groups
More information provided by the system vendor
DatabricksGigaSpacesOpenEdgeVictoriaMetrics
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksGigaSpacesOpenEdgeVictoriaMetrics
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