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DBMS > Firebolt vs. SiteWhere vs. WakandaDB

System Properties Comparison Firebolt vs. SiteWhere vs. WakandaDB

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonSiteWhere  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseM2M integration platform for persisting/querying time series dataWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSTime Series DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.10
Rank#356  Overall
#17  Object oriented DBMS
Websitewww.firebolt.iogithub.com/­sitewhere/­sitewherewakanda.github.io
Technical documentationdocs.firebolt.iositewhere1.sitewhere.io/­index.htmlwakanda.github.io/­doc
DeveloperFirebolt Analytics Inc.SiteWhereWakanda SAS
Initial release202020102012
Current release2.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaScript
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesno
SQL infoSupport of SQLyesnono
APIs and other access methods.Net
ODBC
RESTful HTTP API
HTTP RESTRESTful HTTP API
Supported programming languagesGo
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization conceptyes

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More resources
FireboltSiteWhereWakandaDB
Recent citations in the news

10 Best Data Pipeline Tools of 2024 to Boost Your Productivity
20 February 2024, Datamation

Cloud data unicorn Firebolt fires dozens of employees
7 September 2022, CTech

Firebolt, a data warehouse startup, raises $100M at a $1.4B valuation for faster, cheaper analytics on large data sets
26 January 2022, TechCrunch

Firebolt vs Snowflake | Data Warehousing Platform Comparison
1 April 2022, TechRepublic

Firebolt, Israeli Cloud Data Warehouse Startup Forklifts Forward
5 January 2021, Forbes

provided by Google News

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