DB-EnginesExtremeDB: the first and only COTS deterministic embedded database management system for mission- and safety-critical hard real-time applicationsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > NSDb vs. Spark SQL

System Properties Comparison NSDb vs. Spark SQL

Please select another system to include it in the comparison.

Our visitors often compare NSDb and Spark SQL with PostgreSQL, Oracle and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable, 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 processing
Primary database modelTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#350  Overall
#32  Time Series DBMS
Score21.87
Rank#34  Overall
#20  Relational DBMS
Websitensdb.iospark.apache.org/­sql
Technical documentationnsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation
Initial release20172014
Current release3.1.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaScala
Server operating systemsLinux
macOS
Linux
OS X
Windows
Data schemeyes
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyes
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.nono
Secondary indexesall fields are automatically indexedno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsgRPC
HTTP REST
WebSocket
JDBC
ODBC
Supported programming languagesJava
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnono
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlno

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
3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

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

More resources
NSDbSpark SQL
Recent citations in the news

Databricks raises $1.6B more to boost data lakehouse
31 August 2021, TechTarget

Best Data Warehouse Tools for Managing Your Data | ESF
24 September 2021, Enterprise Storage Forum

Beginner's Guide To Machine Learning With Apache Spark
16 July 2021, Analytics India Magazine

Hadoop vs. Spark: Comparing the two big data frameworks
7 May 2021, TechTarget

Evolution of Azure Synapse: Apache Spark 3.0, GPU Acceleration, Delta Lake, Dataverse Support
29 May 2021, InfoQ.com

provided by Google News

Job opportunities

Business Intelligence Developer
Collective Health, Lehi, UT

Associate Data Lake Consultant
Amazon Web Services, Inc., Remote

Jr Data Engineer
Procter & Gamble, Cincinnati, OH

Entry Level Big Data Engineer
Comcast, West Chester, PA

Associate Data & Machine Learning Engineer
Amazon Web Services, Inc., Remote

jobs by Indeed



Share this page

Featured Products

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database machine learning. Try Vertica for free with no time limit.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

Neo4j logo

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

Present your product here