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DBMS > Bangdb vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. Sqrrl vs. WakandaDB

System Properties Comparison Bangdb vs. GeoMesa vs. Microsoft Azure Synapse Analytics vs. Sqrrl vs. WakandaDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSqrrl  Xexclude from comparisonWakandaDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerAdaptable, secure NoSQL built on Apache AccumuloWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Spatial DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Object oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Websitebangdb.comwww.geomesa.orgazure.microsoft.com/­services/­synapse-analyticssqrrl.comwakanda.github.io
Technical documentationdocs.bangdb.comwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­azure/­synapse-analyticswakanda.github.io/­doc
DeveloperSachin Sinha, BangDBCCRi and othersMicrosoftAmazon infooriginally Sqrrl Data, Inc.Wakanda SAS
Initial release20122014201620122012
Current releaseBangDB 2.0, October 20214.0.5, February 20242.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache License 2.0commercialcommercialOpen Source infoAGPLv3, extended commercial license available
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 languageC, C++ScalaC++JavaC++, JavaScript
Server operating systemsLinuxhostedLinuxLinux
OS X
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyesyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolnoyesnono
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
C#
Java
PHP
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
JavaScript
Server-side scripts infoStored proceduresnonoTransact SQLnoyes
Triggersyes, Notifications (with Streaming only)nononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmdepending on storage layerSharding, horizontal partitioningSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)depending on storage layeryesselectable replication factor infomaking use of Hadoopnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglydepending on storage layerImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
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 modedepending on storage layerno
User concepts infoAccess controlyes (enterprise version only)yes infodepending on the DBMS used for storageyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)yes

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More resources
BangdbGeoMesaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSqrrlWakandaDB
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