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DBMS > Databricks vs. RavenDB vs. SiteWhere vs. VoltDB

System Properties Comparison Databricks vs. RavenDB vs. SiteWhere vs. VoltDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonRavenDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonVoltDB  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.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseM2M integration platform for persisting/querying time series dataDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store
Relational DBMS
Document storeTime Series DBMSRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.databricks.comravendb.netgithub.com/­sitewhere/­sitewherewww.voltdb.com
Technical documentationdocs.databricks.comravendb.net/­docssitewhere1.sitewhere.io/­index.htmldocs.voltdb.com
DeveloperDatabricksHibernating RhinosSiteWhereVoltDB Inc.
Initial release2013201020102010
Current release5.4, July 202211.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaJava, C++
Server operating systemshostedLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Linux
OS X infofor development
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freepredefined schemeyes
Typing infopredefined data types such as float or datenoyesyes
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
Secondary indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query language (RQL)noyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP RESTJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesJava
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availablenoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAuthorization levels configured per client per databaseUsers with fine-grained authorization conceptUsers and roles with access to stored procedures
More information provided by the system vendor
DatabricksRavenDBSiteWhereVoltDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksRavenDBSiteWhereVoltDB
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