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DBMS > EXASOL vs. Google BigQuery vs. Graphite vs. Microsoft SQL Server vs. Speedb

System Properties Comparison EXASOL vs. Google BigQuery vs. Graphite vs. Microsoft SQL Server vs. Speedb

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGraphite  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Large scale data warehouse service with append-only tablesData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperMicrosofts flagship relational DBMSAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.21
Rank#315  Overall
#45  Key-value stores
Websitewww.exasol.comcloud.google.com/­bigquerygithub.com/­graphite-project/­graphite-webwww.microsoft.com/­en-us/­sql-serverwww.speedb.io
Technical documentationwww.exasol.com/­resourcescloud.google.com/­bigquery/­docsgraphite.readthedocs.iolearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperExasolGoogleChris DavisMicrosoftSpeedb
Initial release20002010200619892020
Current releaseSQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languagePythonC++C++
Server operating systemshostedLinux
Unix
Linux
Windows
Linux
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesno
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.nononoyesno
Secondary indexesyesnonoyesno
SQL infoSupport of SQLyesyesnoyesno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP/JSON APIHTTP API
Sockets
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesJava
Lua
Python
R
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScript (Node.js)
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin JavaScriptnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonetables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datanoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nofine grained access rights according to SQL-standardno
More information provided by the system vendor
EXASOLGoogle BigQueryGraphiteMicrosoft SQL ServerSpeedb
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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More resources
EXASOLGoogle BigQueryGraphiteMicrosoft SQL ServerSpeedb
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