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DBMS > Databend vs. GridGain vs. Microsoft Access vs. Newts vs. QuestDB

System Properties Comparison Databend vs. GridGain vs. Microsoft Access vs. Newts vs. QuestDB

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNewts  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityGridGain is an in-memory computing platform, built on Apache IgniteMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Time Series DBMS based on CassandraA high performance open source SQL database for time series data
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.gridgain.comwww.microsoft.com/­en-us/­microsoft-365/­accessopennms.github.io/­newtsquestdb.io
Technical documentationdocs.databend.comwww.gridgain.com/­docs/­index.htmldeveloper.microsoft.com/­en-us/­accessgithub.com/­OpenNMS/­newts/­wikiquestdb.io/­docs
DeveloperDatabend LabsGridGain Systems, Inc.MicrosoftOpenNMS GroupQuestDB Technology Inc
Initial release20212007199220142014
Current release1.0.59, April 2023GridGain 8.5.11902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJava, C++, .NetC++JavaJava (Zero-GC), C++, Rust
Server operating systemshosted
Linux
macOS
Linux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Linux
macOS
Windows
Data schemeyesyesyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesnoyesyesnono
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLyes infobut not compliant to any SQL standardnoSQL with time-series extensions
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
Java API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
JavaC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infosince Access 2010 using the ACE-enginenono
Triggersnoyes (cache interceptors and events)yes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infobased on Cassandrahorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)noneselectable replication factor infobased on CassandraSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID infobut no files for transaction loggingnoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infothrough memory mapped files
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesSecurity Hooks for custom implementationsno infoa simple user-level security was built in till version Access 2003no
More information provided by the system vendor
DatabendGridGainMicrosoft AccessNewtsQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
DatabendGridGainMicrosoft AccessNewtsQuestDB
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