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DBMS > Apache Druid vs. Firebase Realtime Database vs. Manticore Search vs. TerminusDB

System Properties Comparison Apache Druid vs. Firebase Realtime Database vs. Manticore Search vs. TerminusDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonManticore Search  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Multi-storage database for search, including full-text search.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMS
Time Series DBMS
Document storeSearch engineGraph DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score15.00
Rank#39  Overall
#6  Document stores
Score0.23
Rank#317  Overall
#21  Search engines
Score0.22
Rank#323  Overall
#28  Graph DBMS
Websitedruid.apache.orgfirebase.google.com/­products/­realtime-databasemanticoresearch.comterminusdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­databasemanual.manticoresearch.comterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014Manticore SoftwareDataChemist Ltd.
Initial release2012201220172018
Current release29.0.1, April 20246.0, February 202311.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGPL version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Prolog, Rust
Server operating systemsLinux
OS X
Unix
hostedFreeBSD
Linux
macOS
Windows
Linux
Data schemeyes infoschema-less columns are supportedschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XMLno
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL for queryingnoSQL-like query languageSQL-like query language (WOQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
JavaScript
Objective-C
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScript
Python
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'user defined functionsyes
TriggersnoCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoPartitioning is done manually, search queries against distributed index is supportedGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSynchronous replication based on Galera libraryJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes, based on authentication and database rulesnoRole-based access control

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More resources
Apache DruidFirebase Realtime DatabaseManticore SearchTerminusDB infoformer name was DataChemist
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