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DBMS > Apache IoTDB vs. Kyligence Enterprise vs. LevelDB vs. Microsoft Azure Synapse Analytics vs. OrigoDB

System Properties Comparison Apache IoTDB vs. Kyligence Enterprise vs. LevelDB vs. Microsoft Azure Synapse Analytics vs. OrigoDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA distributed analytics engine for big data, built on top of Apache KylinEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA fully ACID in-memory object graph database
Primary database modelTime Series DBMSRelational DBMSKey-value storeRelational DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteiotdb.apache.orgkyligence.io/­kyligence-enterprisegithub.com/­google/­leveldbazure.microsoft.com/­services/­synapse-analyticsorigodb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.microsoft.com/­azure/­synapse-analyticsorigodb.com/­docs
DeveloperApache Software FoundationKyligence, Inc.GoogleMicrosoftRobert Friberg et al
Initial release20182016201120162009 infounder the name LiveDB
Current release1.1.0, April 20231.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSDcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++C#
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxIllumos
Linux
OS X
Windows
hostedLinux
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesUser defined using .NET types and collections
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.nonononono infocan be achieved using .NET
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query languageANSI SQL for queries (using Apache Calcite)noyesno
APIs and other access methodsJDBC
Native API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C#
Java
PHP
.Net
Server-side scripts infoStored proceduresyesnoTransact SQLyes
Triggersyesnonoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding, horizontal partitioninghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesnoyesRole based authorization

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More resources
Apache IoTDBKyligence EnterpriseLevelDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOrigoDB
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