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DBMS > BigObject vs. Blueflood vs. Google Cloud Datastore vs. Hive vs. SAP SQL Anywhere

System Properties Comparison BigObject vs. Blueflood vs. Google Cloud Datastore vs. Hive vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonBlueflood  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHive  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesScalable TimeSeries DBMS based on CassandraAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platformdata warehouse software for querying and managing large distributed datasets, built on HadoopRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitebigobject.ioblueflood.iocloud.google.com/­datastorehive.apache.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.bigobject.iogithub.com/­rax-maas/­blueflood/­wikicloud.google.com/­datastore/­docscwiki.apache.org/­confluence/­display/­Hive/­Homehelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperBigObject, Inc.RackspaceGoogleApache Software Foundation infoinitially developed by FacebookSAP infoformerly Sybase
Initial release20152013200820121992
Current release3.1.3, April 202217, July 2015
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
hostedAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyespredefined schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyesyes
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.nononoyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (GQL)SQL-like DML and DDL statementsyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP RESTgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
PHP
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresLuanousing Google App Engineyes infouser defined functions and integration of map-reduceyes, in C/C++, Java, .Net or Perl
TriggersnonoCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraMulti-source replication using Paxosselectable replication factorSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
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.yesnonoyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
BigObjectBluefloodGoogle Cloud DatastoreHiveSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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