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DBMS > Badger vs. Microsoft Azure Data Explorer vs. OpenTSDB vs. Tigris

System Properties Comparison Badger vs. Microsoft Azure Data Explorer vs. OpenTSDB vs. Tigris

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Fully managed big data interactive analytics platformScalable Time Series DBMS based on HBaseA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelKey-value storeRelational DBMS infocolumn orientedTime Series DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsDocument 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
Score0.22
Rank#320  Overall
#47  Key-value stores
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerazure.microsoft.com/­services/­data-exploreropentsdb.netwww.tigrisdata.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.microsoft.com/­en-us/­azure/­data-exploreropentsdb.net/­docs/­build/­html/­index.htmlwww.tigrisdata.com/­docs
DeveloperDGraph LabsMicrosoftcurrently maintained by Yahoo and other contributorsTigris Data, Inc.
Initial release2017201920112022
Current releasecloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoLGPLOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
Windows
Linux
macOS
Windows
Data schemeschema-freeFixed schema with schema-less datatypes (dynamic)schema-freeyes
Typing infopredefined data types such as float or datenoyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesnumeric data for metrics, strings for tagsyes
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.noyesnono
Secondary indexesnoall fields are automatically indexednoyes
SQL infoSupport of SQLnoKusto Query Language (KQL), SQL subsetnono
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP API
Telnet API
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesGo.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Erlang
Go
Java
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresnoYes, possible languages: KQL, Python, Rnono
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoAzure Active Directory AuthenticationnoAccess rights for users and roles

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More resources
BadgerMicrosoft Azure Data ExplorerOpenTSDBTigris
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