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DBMS > Apache Kylin vs. Apache Phoenix vs. etcd vs. Google Cloud Firestore

System Properties Comparison Apache Kylin vs. Apache Phoenix vs. etcd vs. Google Cloud Firestore

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonApache Phoenix  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA scale-out RDBMS with evolutionary schema built on Apache HBaseA distributed reliable key-value storeCloud 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.
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#175  Overall
#80  Relational DBMS
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score7.64
Rank#54  Overall
#5  Key-value stores
Score8.96
Rank#48  Overall
#8  Document stores
Websitekylin.apache.orgphoenix.apache.orgetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestore
Technical documentationkylin.apache.org/­docsphoenix.apache.orgetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestore
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software FoundationGoogle
Initial release201520142017
Current release3.1.0, July 20205.0-HBase2, July 2018 and 4.15-HBase1, December 20193.4, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGo
Server operating systemsLinuxLinux
Unix
Windows
FreeBSD
Linux
Windows infoexperimental
hosted
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesnoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCgRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes, Firebase Rules & Cloud Functions
Triggersnoyes, watching key changesyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes
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.noyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
Apache KylinApache PhoenixetcdGoogle Cloud Firestore
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