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DBMS > Apache Phoenix vs. Infobright vs. IRONdb vs. Pinecone

System Properties Comparison Apache Phoenix vs. Infobright vs. IRONdb vs. Pinecone

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonInfobright  Xexclude from comparisonIRONdb  Xexclude from comparisonPinecone  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitephoenix.apache.orgignitetech.com/­softwarelibrary/­infobrightdbwww.circonus.com/solutions/time-series-database/www.pinecone.io
Technical documentationphoenix.apache.orgdocs.circonus.com/irondb/category/getting-starteddocs.pinecone.io/­docs/­overview
DeveloperApache Software FoundationIgnite Technologies Inc.; formerly InfoBright Inc.Circonus LLC.Pinecone Systems, Inc
Initial release2014200520172019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC and C++
Server operating systemsLinux
Unix
Windows
Linux
Windows
Linuxhosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsString, Number, Boolean
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 indexesyesno infoKnowledge Grid Technology used insteadno
SQL infoSupport of SQLyesyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
HTTP APIRESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes, in Lua
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.yesyesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesno

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More resources
Apache PhoenixInfobrightIRONdbPinecone
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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
2 June 2016, AWS Blog

Bridge the SQL-NoSQL gap with Apache Phoenix
4 February 2016, InfoWorld

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28 June 2016, ADT Magazine

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16 January 2024, Datanami

Reimagining Vector Databases for the Generative AI Era with Pinecone Serverless on AWS | Amazon Web Services
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