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DBMS > Amazon Redshift vs. GBase vs. QuestDB vs. Sphinx vs. SurrealDB

System Properties Comparison Amazon Redshift vs. GBase vs. QuestDB vs. Sphinx vs. SurrealDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonGBase  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A high performance open source SQL database for time series dataOpen source search engine for searching in data from different sources, e.g. relational databasesA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engineDocument store
Graph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.25
Rank#38  Overall
#23  Relational DBMS
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websiteaws.amazon.com/­redshiftwww.gbase.cnquestdb.iosphinxsearch.comsurrealdb.com
Technical documentationdocs.aws.amazon.com/­redshiftquestdb.io/­docssphinxsearch.com/­docssurrealdb.com/­docs
DeveloperAmazon (based on PostgreSQL)General Data Technology Co., Ltd.QuestDB Technology IncSphinx Technologies Inc.SurrealDB Ltd
Initial release20122004201420012022
Current releaseGBase 8a, GBase 8s, GBase 8c3.5.1, February 2023v1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC, Java, PythonJava (Zero-GC), C++, RustC++Rust
Server operating systemshostedLinuxLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyesno
Secondary indexesrestrictedyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardStandard with numerous extensionsSQL with time-series extensionsSQL-like query language (SphinxQL)SQL-like query language
APIs and other access methodsJDBC
ODBC
ADO.NET
C API
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocolGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC#C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functionsnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnoyes, based on authentication and database rules
More information provided by the system vendor
Amazon RedshiftGBaseQuestDBSphinxSurrealDB
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More resources
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