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DBMS > Apache IoTDB vs. EsgynDB vs. NCache vs. OpenTSDB vs. Transwarp StellarDB

System Properties Comparison Apache IoTDB vs. EsgynDB vs. NCache vs. OpenTSDB vs. Transwarp StellarDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonNCache  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTranswarp StellarDB  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 FlinkEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionOpen-Source and Enterprise in-memory Key-Value StoreScalable Time Series DBMS based on HBaseA distributed graph DBMS built for enterprise-level graph applications
Primary database modelTime Series DBMSRelational DBMSKey-value storeTime Series DBMSGraph DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websiteiotdb.apache.orgwww.esgyn.cnwww.alachisoft.com/­ncacheopentsdb.netwww.transwarp.cn/­en/­product/­stellardb
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.alachisoft.com/­resources/­docsopentsdb.net/­docs/­build/­html/­index.html
DeveloperApache Software FoundationEsgynAlachisoftcurrently maintained by Yahoo and other contributorsTranswarp
Initial release2018201520052011
Current release1.1.0, April 20235.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoEnterprise Edition availableOpen Source infoLGPLcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaC#, .NET, .NET Core, JavaJava
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
Windows
Linux
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counternumeric data for metrics, strings for tags
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 indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyesSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.noSQL-like query language
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
HTTP API
Telnet API
OpenCypher
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresyesJava Stored Proceduresno infosupport for stored procedures with SQL-Server CLRno
Triggersyesnoyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingyesSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication between multi datacentersyes, with selectable consistency levelselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking and pessimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)noyes
More information provided by the system vendor
Apache IoTDBEsgynDBNCacheOpenTSDBTranswarp StellarDB
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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More resources
Apache IoTDBEsgynDBNCacheOpenTSDBTranswarp StellarDB
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