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DBMS > Firebolt vs. Google BigQuery vs. Heroic vs. Sqrrl vs. Transwarp StellarDB

System Properties Comparison Firebolt vs. Google BigQuery vs. Heroic vs. Sqrrl vs. Transwarp StellarDB

Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHeroic  Xexclude from comparisonSqrrl  Xexclude from comparisonTranswarp StellarDB  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.
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseLarge scale data warehouse service with append-only tablesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAdaptable, secure NoSQL built on Apache AccumuloA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitewww.firebolt.iocloud.google.com/­bigquerygithub.com/­spotify/­heroicsqrrl.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.firebolt.iocloud.google.com/­bigquery/­docsspotify.github.io/­heroic
DeveloperFirebolt Analytics Inc.GoogleSpotifyAmazon infooriginally Sqrrl Data, Inc.Transwarp
Initial release2020201020142012
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedhostedLinux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoyes infovia Elasticsearchyes
SQL infoSupport of SQLyesyesnonoSQL-like query language
APIs and other access methods.Net
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
OpenCypher
Supported programming languagesGo
JavaScript (Node.js)
Python
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infomaking use of Hadoophorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)yes

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More resources
FireboltGoogle BigQueryHeroicSqrrlTranswarp StellarDB
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