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DBMS > Bangdb vs. BoltDB vs. Ignite vs. Microsoft Azure Synapse Analytics

System Properties Comparison Bangdb vs. BoltDB vs. Ignite vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBoltDB  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphAn embedded key-value store for Go.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitebangdb.comgithub.com/­boltdb/­boltignite.apache.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.bangdb.comapacheignite.readme.io/­docsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperSachin Sinha, BangDBApache Software FoundationMicrosoft
Initial release2012201320152016
Current releaseBangDB 2.0, October 2021Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoMIT LicenseOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++GoC++, Java, .NetC++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesyes
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.nonoyesno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyes
SQL infoSupport of SQLSQL like support with command line toolnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
GoC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)Transact SQL
Triggersyes, Notifications (with Streaming only)noyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)noneyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono 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 dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyes
User concepts infoAccess controlyes (enterprise version only)noSecurity Hooks for custom implementationsyes

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More resources
BangdbBoltDBIgniteMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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