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DBMS > Apache Druid vs. Firebase Realtime Database vs. JaguarDB vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage

System Properties Comparison Apache Druid vs. Firebase Realtime Database vs. JaguarDB vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft Azure Table Storage  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.Performant, highly scalable DBMS for AI and IoT applicationsGlobally distributed, horizontally scalable, multi-model database serviceA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMS
Time Series DBMS
Document storeKey-value store
Vector DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.33
Rank#99  Overall
#51  Relational DBMS
#7  Time Series DBMS
Score15.07
Rank#38  Overall
#6  Document stores
Score0.06
Rank#372  Overall
#55  Key-value stores
#14  Vector DBMS
Score30.39
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score5.35
Rank#71  Overall
#6  Wide column stores
Websitedruid.apache.orgfirebase.google.com/­products/­realtime-databasewww.jaguardb.comazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­databasewww.jaguardb.com/­support.htmllearn.microsoft.com/­azure/­cosmos-db
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014DataJaguar, Inc.MicrosoftMicrosoft
Initial release20122012201520142012
Current release29.0.0, February 20243.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGPL V3.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ infothe server part. Clients available in other languages
Server operating systemsLinux
OS X
Unix
hostedLinuxhostedhosted
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON typesyes
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.nononono
Secondary indexesyesyesyesyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLSQL for queryingnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query languageno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
JavaScript
Objective-C
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'noJavaScriptno
TriggersnoCallbacks are triggered when data changesnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationyes infoImplicit feature of the cloud serviceyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoMulti-item ACID transactions with snapshot isolation within a partitionoptimistic locking
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.nonono
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 rulesrights management via user accountsAccess rights can be defined down to the item levelAccess rights based on private key authentication or shared access signatures

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More resources
Apache DruidFirebase Realtime DatabaseJaguarDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table Storage
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