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DBMS > BigObject vs. Blueflood vs. Netezza vs. QuestDB vs. SAP SQL Anywhere

System Properties Comparison BigObject vs. Blueflood vs. Netezza vs. QuestDB vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonBlueflood  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQuestDB  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 CassandraData warehouse and analytics appliance part of IBM PureSystemsA high performance open source SQL database for time series dataRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational 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
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitebigobject.ioblueflood.iowww.ibm.com/­products/­netezzaquestdb.iowww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.bigobject.iogithub.com/­rax-maas/­blueflood/­wikiquestdb.io/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperBigObject, Inc.RackspaceIBMQuestDB Technology IncSAP infoformerly Sybase
Initial release20152013200020141992
Current release17, July 2015
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava (Zero-GC), C++, Rust
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
Linux infoincluded in applianceLinux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyespredefined schemeyesyes infoschema-free via InfluxDB Line Protocolyes
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.nononoyes
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesSQL with time-series extensionsyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP RESTJDBC
ODBC
OLE DB
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresLuanoyesnoyes, in C/C++, Java, .Net or Perl
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardinghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraSource-replica replicationSource-replica replication with eventual consistencySource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID for single-table writesACID
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.yesnoyes infothrough memory mapped filesyes
User concepts infoAccess controlnonoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard
More information provided by the system vendor
BigObjectBluefloodNetezza infoAlso called PureData System for Analytics by IBMQuestDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BigObjectBluefloodNetezza infoAlso called PureData System for Analytics by IBMQuestDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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