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DBMS > Apache Phoenix vs. Google Cloud Bigtable vs. Graphite vs. H2GIS vs. JaguarDB

System Properties Comparison Apache Phoenix vs. Google Cloud Bigtable vs. Graphite vs. H2GIS vs. JaguarDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonH2GIS  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperSpatial extension of H2Performant, highly scalable DBMS for AI and IoT applications
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMSSpatial DBMSKey-value store
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Websitephoenix.apache.orgcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webwww.h2gis.orgwww.jaguardb.com
Technical documentationphoenix.apache.orgcloud.google.com/­bigtable/­docsgraphite.readthedocs.iowww.h2gis.org/­docs/­homewww.jaguardb.com/­support.html
DeveloperApache Software FoundationGoogleChris DavisCNRSDataJaguar, Inc.
Initial release20142015200620132015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoLGPL 3.0Open Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonJavaC++ infothe server part. Clients available in other languages
Server operating systemsLinux
Unix
Windows
hostedLinux
Unix
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoNumeric data onlyyesyes
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.nonononono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLyesnonoyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
JavaC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnonoyes infobased on H2no
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Internal replication in Colossus, and regional replication between two clusters in different zonesnoneyes infobased on H2Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyes infobased on H2rights management via user accounts

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Apache PhoenixGoogle Cloud BigtableGraphiteH2GISJaguarDB
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