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DBMS > Apache Phoenix vs. Blueflood vs. Google BigQuery vs. Microsoft Azure Synapse Analytics vs. Snowflake

System Properties Comparison Apache Phoenix vs. Blueflood vs. Google BigQuery vs. Microsoft Azure Synapse Analytics vs. Snowflake

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBlueflood  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable TimeSeries DBMS based on CassandraLarge scale data warehouse service with append-only tablesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitephoenix.apache.orgblueflood.iocloud.google.com/­bigqueryazure.microsoft.com/­services/­synapse-analyticswww.snowflake.com
Technical documentationphoenix.apache.orggithub.com/­rax-maas/­blueflood/­wikicloud.google.com/­bigquery/­docsdocs.microsoft.com/­azure/­synapse-analyticsdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software FoundationRackspaceGoogleMicrosoftSnowflake Computing Inc.
Initial release20142013201020162014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinux
Unix
Windows
Linux
OS X
hostedhostedhosted
Data schemeyes infolate-bound, schema-on-read capabilitiespredefined schemeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLyesnoyesyesyes
APIs and other access methodsJDBCHTTP RESTRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
PHP
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions infoin JavaScriptTransact SQLuser defined functions
Triggersnonononono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandranoneSharding, horizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandrayesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesUsers with fine-grained authorization concept, user roles and pluggable authentication

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Apache PhoenixBluefloodGoogle BigQueryMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSnowflake
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