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DBMS > GreptimeDB vs. Microsoft Azure Synapse Analytics vs. TypeDB vs. WakandaDB

System Properties Comparison GreptimeDB vs. Microsoft Azure Synapse Analytics vs. TypeDB vs. WakandaDB

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelTime Series DBMSRelational DBMSGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#8  Object oriented DBMS
#106  Relational DBMS
Score0.10
Rank#356  Overall
#17  Object oriented DBMS
Websitegreptime.comazure.microsoft.com/­services/­synapse-analyticstypedb.comwakanda.github.io
Technical documentationdocs.greptime.comdocs.microsoft.com/­azure/­synapse-analyticstypedb.com/­docswakanda.github.io/­doc
DeveloperGreptime Inc.MicrosoftVaticleWakanda SAS
Initial release2022201620162012
Current release2.28.3, June 20242.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++JavaC++, JavaScript
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
hostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesnono
APIs and other access methodsgRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
RESTful HTTP API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C#
Java
PHP
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
JavaScript
Server-side scripts infoStored proceduresPythonTransact SQLnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnonone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via raftnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlSimple rights management via user accountsyesyes infoat REST API level; other APIs in progressyes
More information provided by the system vendor
GreptimeDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTypeDB infoformerly named GraknWakandaDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
GreptimeDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTypeDB infoformerly named GraknWakandaDB
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