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DBMS > BigchainDB vs. Microsoft Azure Synapse Analytics vs. mSQL vs. Vertica

System Properties Comparison BigchainDB vs. Microsoft Azure Synapse Analytics vs. mSQL vs. Vertica

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServermSQL (Mini SQL) is a simple and lightweight RDBMSCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#213  Overall
#35  Document stores
Score16.84
Rank#33  Overall
#19  Relational DBMS
Score1.27
Rank#160  Overall
#73  Relational DBMS
Score9.38
Rank#42  Overall
#26  Relational DBMS
Websitewww.bigchaindb.comazure.microsoft.com/­services/­synapse-analyticshughestech.com.au/­products/­msqlwww.vertica.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.microsoft.com/­azure/­synapse-analyticsvertica.com/­documentation
DeveloperMicrosoftHughes TechnologiesOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2016201619942005
Current release4.4, October 202112.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercial infofree licenses can be providedcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesnono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++CC++
Server operating systemsLinuxhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeschema-freeyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
Java
PHP
C
C++
Delphi
Java
Perl
PHP
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresTransact SQLnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnonoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesyesnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
BigchainDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousemSQL infoMini SQLVertica infoOpenText™ Vertica™
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