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DBMS > chDB vs. Drizzle vs. GigaSpaces vs. Microsoft Azure Table Storage

System Properties Comparison chDB vs. Drizzle vs. GigaSpaces vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NamechDB  Xexclude from comparisonDrizzle  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn embedded SQL OLAP Engine powered by ClickHouseMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Wide column store
Secondary database modelsTime Series DBMSGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#376  Overall
#158  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitegithub.com/­chdb-io/­chdbwww.gigaspaces.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdoc.chdb.iodocs.gigaspaces.com/­latest/­landing.html
DeveloperDrizzle project, originally started by Brian AkerGigaspaces TechnologiesMicrosoft
Initial release2023200820002012
Current release7.2.4, September 201215.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache Version 2; Commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .Net
Server operating systemsserver-lessFreeBSD
Linux
OS X
Linux
macOS
Solaris
Windows
hosted
Data schemeyesschema-freeschema-free
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.no infoXML can be used for describing objects metadatano
Secondary indexesyesyesno
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)yes infowith proprietary extensionsSQL-99 for query and DML statementsno
APIs and other access methodsJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
C
C++
Java
PHP
.Net
C++
Java
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesno
Triggersno infohooks for callbacks inside the server can be used.yes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlAccess rights based on private key authentication or shared access signatures

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More resources
chDBDrizzleGigaSpacesMicrosoft Azure Table Storage
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