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DBMS > Drizzle vs. Microsoft Azure Synapse Analytics vs. ObjectBox vs. Teradata vs. XTDB

System Properties Comparison Drizzle vs. Microsoft Azure Synapse Analytics vs. ObjectBox vs. Teradata vs. XTDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonObjectBox  Xexclude from comparisonTeradata  Xexclude from comparisonXTDB infoformerly named Crux  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerExtremely fast embedded database for small devices, IoT and MobileA hybrid cloud data analytics software platform (Teradata Vantage)A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSRelational DBMSDocument store
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteazure.microsoft.com/­services/­synapse-analyticsobjectbox.iowww.teradata.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsdocs.objectbox.iodocs.teradata.comwww.xtdb.com/­docs
DeveloperDrizzle project, originally started by Brian AkerMicrosoftObjectBox LimitedTeradataJuxt Ltd.
Initial release20082016201719842019
Current release7.2.4, September 2012Teradata Vantage 1.0 MU2, January 20191.19, September 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache License 2.0commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C and C++Clojure
Server operating systemsFreeBSD
Linux
OS X
hostedAndroid
iOS
Linux
macOS
Windows
hosted
Linux
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, extensible-data-notation format
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.nonoyesno
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesnoyes infoSQL 2016 + extensionslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
Proprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
HTTP REST
JDBC
Supported programming languagesC
C++
Java
PHP
C#
Java
PHP
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Clojure
Java
Server-side scripts infoStored proceduresnoTransact SQLnoyes infoUDFs, stored procedures, table functions in parallelno
Triggersno infohooks for callbacks inside the server can be used.nonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnoneSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
DrizzleMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseObjectBoxTeradataXTDB infoformerly named Crux
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More resources
DrizzleMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseObjectBoxTeradataXTDB infoformerly named Crux
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