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DBMS > Apache Druid vs. Google Cloud Firestore vs. ObjectBox vs. Sadas Engine

System Properties Comparison Apache Druid vs. Google Cloud Firestore vs. ObjectBox vs. Sadas Engine

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonObjectBox  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Extremely fast embedded database for small devices, IoT and MobileSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMS
Time Series DBMS
Document storeObject oriented DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitedruid.apache.orgfirebase.google.com/­products/­firestoreobjectbox.iowww.sadasengine.com
Technical documentationdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­firestoredocs.objectbox.iowww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation and contributorsGoogleObjectBox LimitedSADAS s.r.l.
Initial release2012201720172006
Current release29.0.1, April 20248.0
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache License 2.0commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++
Server operating systemsLinux
OS X
Unix
hostedAndroid
iOS
Linux
macOS
Windows
AIX
Linux
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
SQL infoSupport of SQLSQL for queryingnonoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Proprietary native APIJDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsnono
Triggersnoyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationonline/offline synchronization between client and servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Apache DruidGoogle Cloud FirestoreObjectBoxSadas Engine
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More resources
Apache DruidGoogle Cloud FirestoreObjectBoxSadas Engine
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