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DBMS > Apache IoTDB vs. ScyllaDB vs. searchxml vs. TigerGraph

System Properties Comparison Apache IoTDB vs. ScyllaDB vs. searchxml vs. TigerGraph

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonsearchxml  Xexclude from comparisonTigerGraph  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 FlinkCassandra and DynamoDB compatible wide column storeDBMS for structured and unstructured content wrapped with an application serverA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelTime Series DBMSWide column storeNative XML DBMS
Search engine
Graph DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteiotdb.apache.orgwww.scylladb.comwww.searchxml.net/­category/­productswww.tigergraph.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.scylladb.comwww.searchxml.net/­support/­handoutsdocs.tigergraph.com
DeveloperApache Software FoundationScyllaDBinformationpartners gmbh
Initial release2018201520152017
Current release1.1.0, April 2023ScyllaDB Open Source 5.4.1, January 20241.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoOpen Source (AGPL), commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaC++C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxWindowsLinux
Data schemeyesschema-freeschema-freeyes
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.nonoyesno
Secondary indexesyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statements (CQL)noSQL-like query language (GSQL)
APIs and other access methodsJDBC
Native API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
RESTful HTTP API
WebDAV
XQuery
XSLT
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
C++ infomost other programming languages supported via APIsC++
Java
Server-side scripts infoStored proceduresyesyes, Luayes infoon the application serveryes
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsmultiple readers, single writerACID
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.yesyes infoin-memory tablesnono
User concepts infoAccess controlyesAccess rights for users can be defined per objectDomain, group and role-based access control at the document level and for application servicesRole-based access control
More information provided by the system vendor
Apache IoTDBScyllaDBsearchxmlTigerGraph
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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Apache IoTDBScyllaDBsearchxmlTigerGraph
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