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DBMS > Blueflood vs. NSDb vs. Spark SQL vs. XTDB

System Properties Comparison Blueflood vs. NSDb vs. Spark SQL vs. XTDB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonNSDb  Xexclude from comparisonSpark SQL  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpark SQL is a component on top of 'Spark Core' for structured data processingA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteblueflood.ionsdb.iospark.apache.org/­sqlgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikinsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.xtdb.com/­docs
DeveloperRackspaceApache Software FoundationJuxt Ltd.
Initial release2013201720142019
Current release3.5.0 ( 2.13), September 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ScalaScalaClojure
Server operating systemsLinux
OS X
Linux
macOS
Linux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemepredefined schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes, 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.nononono
Secondary indexesnoall fields are automatically indexednoyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementslimited SQL, making use of Apache Calcite
APIs and other access methodsHTTP RESTgRPC
HTTP REST
WebSocket
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesJava
Scala
Java
Python
R
Scala
Clojure
Java
Server-side scripts infoStored proceduresnononono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes, 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.nono
User concepts infoAccess controlnono

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More resources
BluefloodNSDbSpark SQLXTDB infoformerly named Crux
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