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. Geode vs. Spark SQL

System Properties Comparison Apache Phoenix vs. Geode vs. Spark SQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGeode  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.20
Rank#96  Overall
#50  Relational DBMS
Score1.62
Rank#137  Overall
#26  Key-value stores
Score22.97
Rank#34  Overall
#20  Relational DBMS
Websitephoenix.apache.orggeode.apache.orgspark.apache.org/­sql
Technical documentationphoenix.apache.orggeode.apache.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software Foundation
Initial release201420022014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.1, February 20173.2.0, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen 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 languageJavaJavaScala
Server operating systemsLinux
Unix
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
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 indexesyesnono
SQL infoSupport of SQLyesSQL-like query language (OQL)SQL-like DML and DDL statements
APIs and other access methodsJDBCJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsno
Triggersnoyes infoCache Event Listenersno
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
Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeno
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.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights per client and object definableno

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 PhoenixGeodeSpark 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

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

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

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

provided by Google News

Simplifying Apache Geode with Spring Data
2 June 2018, InfoQ.com

Where Does Apache Geode Fit in CQRS Architectures?
18 December 2016, InfoQ.com

VMware Tanzu Advanced Quarterly Update: Driving DevOps Metrics that Matter
15 November 2021, Marketscreener.com

RDBMS and Apache Geode Data Movement: Low Latency ETL Pipeline by Using Cloud-Native Event Driven Microservices
30 June 2018, InfoQ.com

HPE acquires Ampool to gain distributed SQL engine
9 July 2021, VentureBeat

provided by Google News

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

Accelerating Deep Learning on the JVM with Apache Spark and NVIDIA GPUs
11 June 2021, InfoQ.com

provided by Google News

Job opportunities

Solutions Architect
Cloudera, New York, NY

OpDB & HBase Field Specialist
Cloudera, New York, NY

Principal Engineer, Data
Vimeo, New York, NY

Solutions Architect - Federal
Cloudera, Virginia

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

Data Solutions Engineer - Opportunity for Working Remotely Portland, ME
VMware, Portland, ME

Software Development Engineer in Test - Tanzu GemFire - Opportunity for Working Remotely Phoenix, AZ
VMware, Phoenix, AZ

Data Solutions Engineer - Opportunity for Working Remotely Little Rock, AR
VMware, Little Rock, AR

Software Engineer - Tanzu Gemfire - Opportunity for Working Remotely Honolulu, HI
VMware, Honolulu, HI

Software Development Engineer in Test - Tanzu GemFire - Opportunity for Working Remotely Nashville, TN
VMware, Nashville, TN

Overseas Contractor
Larsen & Toubro Infotech Limited, Hoboken, NJ

Python/Spark/SQL Data Egnineer
Zettalogix, Iselin, NJ

Product Analyst
Blutium, Remote

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

Senior Data Engineer
Datassay Incorporation, Palo Alto, CA

jobs by Indeed



Share this page

Featured Products

Couchbase logo

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

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

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