DB-EnginesExtremeDB: the first and only COTS deterministic embedded database management system for mission- and safety-critical hard real-time applicationsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Phoenix vs. Percona Server for MongoDB vs. Spark SQL

System Properties Comparison Apache Phoenix vs. Percona Server for MongoDB vs. Spark SQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.57
Rank#93  Overall
#49  Relational DBMS
Score0.63
Rank#220  Overall
#32  Document stores
Score23.33
Rank#33  Overall
#19  Relational DBMS
Websitephoenix.apache.orgwww.percona.com/­software/­mongodb/­percona-server-for-mongodbspark.apache.org/­sql
Technical documentationphoenix.apache.orgwww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationPerconaApache Software Foundation
Initial release201420152014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.4.10-2.10, November 20173.2.0, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Scala
Server operating systemsLinux
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLyesnoSQL-like DML and DDL statements
APIs and other access methodsJDBCproprietary protocol using JSONJDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsJavaScriptno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engineno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users and rolesno

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache PhoenixPercona Server for MongoDBSpark SQL
DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021,  Krishna Maheshwari (sponsor) 

show all

Recent citations in the news

Apache Phoenix Now HBase 2.0 Compatible
20 July 2018, iProgrammer

Developing Python Applications Against Apache Phoenix (HBase)
30 September 2016, DZone News

Apache Calcite, FreeMarker, Gora, Phoenix, and Solr updated
27 March 2017, SDTimes.com

HPE gobbles up Ampool to add SQL grunt to Ezmeral
9 July 2021, The Register

The Apache Software Foundation Announces the 10th Anniversary of Apache® HBase
13 May 2020, GlobeNewswire

provided by Google News

Percona Server for MongoDB 4.0 an Ideal Solution for Even More Use Cases
31 October 2018, GlobeNewswire

Introducing the Percona Memory Engine for MongoDB
12 August 2016, DZone News

Percona takes first steps toward hybrid cloud
12 May 2021, ZDNet

Why Percona wants your database to be open source, and not everyone is happy about it
14 September 2020, TechRepublic

Western Digital, Percona Join Forces to Extend the Zoned Storage Ecosystem, Targeting Popular MySQL Open-Source Transactional Database
26 May 2021, Business Wire

provided by Google News

Apache Spark Brings Pandas API with Version 3.2
4 November 2021, InfoQ.com

Compare Hadoop vs. Spark vs. Kafka for your big data strategy
15 November 2021, TechTarget

Spark Gets Closer Hooks to Pandas, SQL with Version 3.2
26 October 2021, Datanami

2015 - Spark Takes the Big Data World by Storm
1 July 2021, Datanami

Microsoft : Accelerate big data analytics with Spark 3.0 connector for SQL Server—now generally available
13 July 2021, marketscreener.com

provided by Google News

Job opportunities

OpDB & HBase Field Specialist
Cloudera, New York, NY

Senior Developer
Epsilon, Irving, TX

Manager Data Analytics & Insights
Generac Power Systems, Waukesha, WI

Solutions Architect
Cloudera, New York, NY

Senior Solutions Consultant
Cloudera, Illinois

MySQL DBA I
Percona, Remote

Database Architect
Adobe, San Jose, CA

Support Engineer/Senior Support Engineer North America
MariaDB Corporation Ab, United States

Sr. JAVA Developer
FedTek Systems Inc, Fairfax, VA

Associate Remote Database Administrator
MariaDB Corporation Ab, Remote

Sr. Data & ML Engineer
Amazon Web Services, Inc., Iowa

Associate Data & Machine Learning Engineer
Amazon Web Services, Inc., United States

Associate Data Lake Consultant
Amazon Web Services, Inc., United States

Date posted: 12-Jan-2021
NerdPine, Hillsboro, OR

Sr. Data Architect, Data Lake & Analytics - Nationwide Opportunities
Amazon Web Services, Inc., West Virginia

jobs by Indeed



Share this page

Featured Products

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here