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DBMS > BigObject vs. Drizzle vs. eXtremeDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison BigObject vs. Drizzle vs. eXtremeDB vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDrizzle  Xexclude from comparisoneXtremeDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Natively in-memory DBMS with options for persistency, high-availability and clusteringElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitebigobject.iowww.mcobject.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.bigobject.iowww.mcobject.com/­docs/­extremedb.htmdocs.microsoft.com/­azure/­synapse-analytics
DeveloperBigObject, Inc.Drizzle project, originally started by Brian AkerMcObjectMicrosoft
Initial release2015200820012016
Current release7.2.4, September 20128.2, 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
OS X
AIX
HP-UX
Linux
macOS
Solaris
Windows
hosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infosupport of XML interfaces availableno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith proprietary extensionsyes infowith the option: eXtremeSQLyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresLuanoyesTransact SQL
Triggersnono infohooks for callbacks inside the server can be used.yes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning / shardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Active Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPyes
More information provided by the system vendor
BigObjectDrizzleeXtremeDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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BigObjectDrizzleeXtremeDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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