DBMS > Apache Phoenix vs. Heroic vs. Sphinx

System Properties Comparison Apache Phoenix vs. Heroic vs. Sphinx

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Editorial information provided by DB-Engines
Name	Apache Phoenix  Xexclude from comparison	Heroic  Xexclude from comparison	Sphinx  Xexclude from comparison
Description	A scale-out RDBMS with evolutionary schema built on Apache HBase	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch	Open source search engine for searching in data from different sources, e.g. relational databases
Primary database model	Relational DBMS	Time Series DBMS	Search engine
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.81 Rank #108   Overall #56   Relational DBMS	Score 0.25 Rank #280   Overall #22   Time Series DBMS	Score 7.23 Rank #61   Overall #8   Search engines
Website	phoenix.apache.org	spotify.github.io/­heroic/­#!/­index	sphinxsearch.com
Technical documentation	phoenix.apache.org	spotify.github.io/­heroic/­#!/­docs/­overview	sphinxsearch.com/­docs
Developer	Apache Software Foundation	Spotify	Sphinx Technologies Inc.
Initial release	2014	2014	2001
Current release	5.0-HBase2, July 2018 and 4.15-HBase1, December 2019		3.4.1, July 2021
License Commercial or Open Source	Open Source Apache Version 2.0	Open Source Apache 2.0	Open Source GPL version 2, commercial licence available
Cloud-based only Only available as a cloud service	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java	C++
Server operating systems	Linux Unix Windows		FreeBSD Linux NetBSD OS X Solaris Windows
Data scheme	yes late-bound, schema-on-read capabilities	schema-free	yes
Typing predefined data types such as float or date	yes	yes	no
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no
Secondary indexes	yes	yes via Elasticsearch	yes full-text index on all search fields
SQL Support of SQL	yes	no	SQL-like query language (SphinxQL)
APIs and other access methods	JDBC	HQL (Heroic Query Language, a JSON-based language) HTTP API	Proprietary protocol
Supported programming languages	C C# C++ Go Groovy Java PHP Python Scala		C++ unofficial client library Java Perl unofficial client library PHP Python Ruby unofficial client library
Server-side scripts Stored procedures	user defined functions	no	no
Triggers	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding	Sharding Partitioning is done manually, search queries against distributed index is supported
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication Source-replica replication	yes	none
MapReduce Offers an API for user-defined Map/Reduce methods	Hadoop integration	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes The original contents of fields are not stored in the Sphinx index.
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no
User concepts Access control	Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy		no
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More resources
	Apache Phoenix	Heroic	Sphinx
DB-Engines blog posts	Cloudera's HBase PaaS offering now supports Complex Transactions 11 August 2021,  Krishna Maheshwari (sponsor)  show all