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DBMS > Apache Drill vs. Apache IoTDB vs. etcd vs. Firebase Realtime Database vs. Yanza

System Properties Comparison Apache Drill vs. Apache IoTDB vs. etcd vs. Firebase Realtime Database vs. Yanza

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache IoTDB  Xexclude from comparisonetcd  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA distributed reliable key-value storeCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Time Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Time Series DBMSKey-value storeDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score7.05
Rank#53  Overall
#5  Key-value stores
Score13.60
Rank#39  Overall
#6  Document stores
Websitedrill.apache.orgiotdb.apache.orgetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­realtime-databaseyanza.com
Technical documentationdrill.apache.org/­docsiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­database
DeveloperApache Software FoundationApache Software FoundationGoogle infoacquired by Google 2014Yanza
Initial release2012201820122015
Current release1.20.3, January 20231.1.0, April 20233.4, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononoyesno infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsLinux
OS X
Windows
All OS with a Java VM (>= 1.8)FreeBSD
Linux
Windows infoexperimental
hostedWindows
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.nonononono
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query languagenonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Native API
gRPC
JSON over HTTP
Android
iOS
JavaScript API
RESTful HTTP API
HTTP API
Supported programming languagesC++C
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Java
JavaScript
Objective-C
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsyesnolimited functionality with using 'rules'no
Triggersnoyesyes, watching key changesCallbacks are triggered when data changesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesno
User concepts infoAccess controlDepending on the underlying data sourceyesnoyes, based on authentication and database rulesno

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More resources
Apache DrillApache IoTDBetcdFirebase Realtime DatabaseYanza
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