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DBMS > Databricks vs. Firebird vs. Hazelcast vs. Rockset vs. VoltDB

System Properties Comparison Databricks vs. Firebird vs. Hazelcast vs. Rockset vs. VoltDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFirebird  Xexclude from comparisonHazelcast  Xexclude from comparisonRockset  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.Firebird is an open source RDBMS forked from Borland's InterBaseA widely adopted in-memory data gridA scalable, reliable search and analytics service in the cloud, built on RocksDBDistributed 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
Relational DBMSKey-value storeDocument storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational 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
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.79
Rank#211  Overall
#35  Document stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.databricks.comwww.firebirdsql.orghazelcast.comrockset.comwww.voltdb.com
Technical documentationdocs.databricks.comwww.firebirdsql.org/­en/­reference-manualshazelcast.org/­imdg/­docsdocs.rockset.comdocs.voltdb.com
DeveloperDatabricksFirebird FoundationHazelcastRocksetVoltDB Inc.
Initial release20132000 infoAs fork of Borland's InterBase200820192010
Current release5.0.0, January 20245.3.6, November 202311.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC++Java, C++
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
All OS with a Java VMhostedLinux
OS X infofor development
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesdynamic typingyes
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.yesyes infothe object must implement a serialization strategyno infoingestion from XML files supported
Secondary indexesyesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query languageRead-only SQL queries, including JOINsyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP RESTJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Go
Java
JavaScript (Node.js)
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesPSQLyes infoEvent Listeners, Executor ServicesnoJava
Triggersyesyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoReplicated MapyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integrityyesnonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitednoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization conceptRole-based access controlAccess rights for users and organizations can be defined via Rockset consoleUsers and roles with access to stored procedures
More information provided by the system vendor
DatabricksFirebirdHazelcastRocksetVoltDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksFirebirdHazelcastRocksetVoltDB
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