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DBMS > Bangdb vs. Memgraph vs. Microsoft Azure Data Explorer vs. OpenEdge vs. Sequoiadb

System Properties Comparison Bangdb vs. Memgraph vs. Microsoft Azure Data Explorer vs. OpenEdge vs. Sequoiadb

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOpenEdge  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphAn open source graph database built for real-time streaming and compatible with Neo4jFully managed big data interactive analytics platformApplication development environment with integrated database management systemNewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMSRelational DBMS infocolumn orientedRelational DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMSDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitebangdb.commemgraph.comazure.microsoft.com/­services/­data-explorerwww.progress.com/­openedgewww.sequoiadb.com
Technical documentationdocs.bangdb.commemgraph.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.sequoiadb.com/­en/­index.php?m=Files&a=index
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperSachin Sinha, BangDBMemgraph LtdMicrosoftProgress Software CorporationSequoiadb Ltd.
Initial release20122017201919842013
Current releaseBangDB 2.0, October 2021cloud service with continuous releasesOpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoBSL 1.1; commercial license for enterprise edition availablecommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2
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++C and C++C++
Server operating systemsLinuxLinuxhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeschema-freeschema-free and schema-optionalFixed schema with schema-less datatypes (dynamic)yesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesyes infooid, date, timestamp, binary, regex
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.nonoyesyesno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialall fields are automatically indexedyesyes
SQL infoSupport of SQLSQL like support with command line toolnoKusto Query Language (KQL), SQL subsetyes infoclose to SQL 92SQL-like query language
APIs and other access methodsProprietary protocol
RESTful HTTP API
Bolt protocol
Cypher query language
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Progress proprietary ABL (Advanced Business Language).Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoYes, possible languages: KQL, Python, RyesJavaScript
Triggersyes, Notifications (with Streaming only)yes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infodynamic graph partitioningSharding infoImplicit feature of the cloud servicehorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication using RAFTyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infowith snapshot isolationnoACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyesyes
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 modeyesnonono
User concepts infoAccess controlyes (enterprise version only)Users, roles and permissionsAzure Active Directory AuthenticationUsers and groupssimple password-based access control
More information provided by the system vendor
BangdbMemgraphMicrosoft Azure Data ExplorerOpenEdgeSequoiadb
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
BangdbMemgraphMicrosoft Azure Data ExplorerOpenEdgeSequoiadb
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