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DBMS > Apache Phoenix vs. Google BigQuery vs. Google Cloud Bigtable vs. Oracle Coherence

System Properties Comparison Apache Phoenix vs. Google BigQuery vs. Google Cloud Bigtable vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseLarge scale data warehouse service with append-only tablesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Oracles in-memory data grid solution
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.01
Rank#103  Overall
#52  Relational DBMS
Score48.61
Rank#23  Overall
#15  Relational DBMS
Score4.26
Rank#86  Overall
#14  Key-value stores
#6  Wide column stores
Score2.61
Rank#113  Overall
#21  Key-value stores
Websitephoenix.apache.orgcloud.google.com/­bigquerycloud.google.com/­bigtablewww.oracle.com/­middleware/­technologies/­coherence.html
Technical documentationphoenix.apache.orgcloud.google.com/­bigquery/­docscloud.google.com/­bigtable/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software FoundationGoogleGoogleOracle
Initial release2014201020152007
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201912c, September 2016
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsLinux
Unix
Windows
hostedhostedAll OS with a Java VM
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesnonono
SQL infoSupport of SQLyesyesnono
APIs and other access methodsJDBCRESTful HTTP/JSON APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin JavaScriptnono
Triggersnononoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
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 zonesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataAtomic single-row operationsconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)authentification to access the cache via certificates or http basic authentication

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More resources
Apache PhoenixGoogle BigQueryGoogle Cloud BigtableOracle Coherence
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