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DBMS > Apache IoTDB vs. Databricks vs. ScyllaDB vs. XTDB

System Properties Comparison Apache IoTDB vs. Databricks vs. ScyllaDB vs. XTDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDatabricks  Xexclude from comparisonScyllaDB  Xexclude from comparisonXTDB infoformerly named Crux  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 FlinkThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Cassandra and DynamoDB compatible wide column storeA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelTime Series DBMSDocument store
Relational DBMS
Wide column storeDocument store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score0.11
Rank#343  Overall
#46  Document stores
Websiteiotdb.apache.orgwww.databricks.comwww.scylladb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.databricks.comdocs.scylladb.comwww.xtdb.com/­docs
DeveloperApache Software FoundationDatabricksScyllaDBJuxt Ltd.
Initial release2018201320152019
Current release1.1.0, April 2023ScyllaDB Open Source 5.4.1, January 20241.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnono
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++Clojure
Server operating systemsAll OS with a Java VM (>= 1.8)hostedLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, 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.noyesnono
Secondary indexesyesyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLSQL-like query languagewith Databricks SQLSQL-like DML and DDL statements (CQL)limited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
Native API
JDBC
ODBC
RESTful HTTP API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
HTTP REST
JDBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Python
R
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
Clojure
Java
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyes, Luano
Triggersyesnono
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 replicasyesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, 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.yesnoyes infoin-memory tables
User concepts infoAccess controlyesAccess rights for users can be defined per object
More information provided by the system vendor
Apache IoTDBDatabricksScyllaDBXTDB infoformerly named Crux
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
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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 IoTDBDatabricksScyllaDBXTDB infoformerly named Crux
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