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DBMS > Apache Druid vs. BoltDB vs. Google Cloud Datastore vs. PostgreSQL vs. RocksDB

System Properties Comparison Apache Druid vs. BoltDB vs. Google Cloud Datastore vs. PostgreSQL vs. RocksDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBoltDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn embedded key-value store for Go.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeDocument storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value store
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
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
Score0.74
Rank#220  Overall
#31  Key-value stores
Score4.47
Rank#76  Overall
#12  Document stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Websitedruid.apache.orggithub.com/­boltdb/­boltcloud.google.com/­datastorewww.postgresql.orgrocksdb.org
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­datastore/­docswww.postgresql.org/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation and contributorsGooglePostgreSQL Global Development Group infowww.postgresql.org/­developerFacebook, Inc.
Initial release2012201320081989 info1989: Postgres, 1996: PostgreSQL2013
Current release29.0.1, April 202416.3, May 20248.11.4, April 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoMIT LicensecommercialOpen Source infoBSDOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoCC++
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyes, details hereyesno
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.nononoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL for queryingnoSQL-like query language (GQL)yes infostandard with numerous extensionsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnonousing Google App Engineuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
TriggersnonoCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingpartitioning by range, list and (since PostgreSQL 11) by hashhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneMulti-source replication using PaxosSource-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate 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 integritynonoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

More information provided by the system vendor

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More resources
Apache DruidBoltDBGoogle Cloud DatastorePostgreSQLRocksDB
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