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DBMS > Apache Druid vs. Firebird vs. Google Cloud Datastore vs. Oracle Rdb

System Properties Comparison Apache Druid vs. Firebird vs. Google Cloud Datastore vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFirebird  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFirebird is an open source RDBMS forked from Borland's InterBaseAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitedruid.apache.orgwww.firebirdsql.orgcloud.google.com/­datastorewww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdruid.apache.org/­docs/­latest/­designwww.firebirdsql.org/­en/­reference-manualscloud.google.com/­datastore/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperApache Software Foundation and contributorsFirebird FoundationGoogleOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20122000 infoAs fork of Borland's InterBase20081984
Current release29.0.1, April 20245.0.0, January 20247.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoInitial Developer's Public Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++
Server operating systemsLinux
OS X
Unix
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedHP Open VMS
Data schemeyes infoschema-less columns are supportedyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes, details hereyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingyesSQL-like query language (GQL)yes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoPSQLusing Google App Engine
TriggersnoyesCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authorization conceptAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Apache DruidFirebirdGoogle Cloud DatastoreOracle Rdb
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