DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Heroic vs. NSDb vs. searchxml vs. XTDB

System Properties Comparison Heroic vs. NSDb vs. searchxml vs. XTDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonNSDb  Xexclude from comparisonsearchxml  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDBMS for structured and unstructured content wrapped with an application serverA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelTime Series DBMSTime Series DBMSNative XML DBMS
Search engine
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.18
Rank#332  Overall
#46  Document stores
Websitegithub.com/­spotify/­heroicnsdb.iowww.searchxml.net/­category/­productsgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationspotify.github.io/­heroicnsdb.io/­Architecturewww.searchxml.net/­support/­handoutswww.xtdb.com/­docs
DeveloperSpotifyinformationpartners gmbhJuxt Ltd.
Initial release2014201720152019
Current release1.01.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ScalaC++Clojure
Server operating systemsLinux
macOS
WindowsAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeschema-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.nonoyesno
Secondary indexesyes infovia Elasticsearchall fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query languagenolimited SQL, making use of Apache Calcite
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
gRPC
HTTP REST
WebSocket
RESTful HTTP API
WebDAV
XQuery
XSLT
HTTP REST
JDBC
Supported programming languagesJava
Scala
C++ infomost other programming languages supported via APIsClojure
Java
Server-side scripts infoStored proceduresnonoyes infoon the application serverno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infosychronisation to multiple collectionsyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonomultiple readers, single writerACID
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 controlDomain, group and role-based access control at the document level and for application services

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
HeroicNSDbsearchxmlXTDB infoformerly named Crux
Recent citations in the news

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here