DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > EventStoreDB vs. GBase vs. Spark SQL

System Properties Comparison EventStoreDB vs. GBase vs. Spark SQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGBase  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.An analytical database for business intelligence with large customers in China.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelEvent StoreRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#173  Overall
#1  Event Stores
Score1.11
Rank#166  Overall
#82  Relational DBMS
Score22.97
Rank#34  Overall
#20  Relational DBMS
Websitewww.eventstore.comwww.gbase8a.comspark.apache.org/­sql
Technical documentationdevelopers.eventstore.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperEvent Store LimitedApache Software Foundation
Initial release20122014
Current release21.2, February 2021GBase 8a3.2.0, October 2021
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScala
Server operating systemsLinux
Windows
Linux
OS X
Windows
Data schemeyes
Typing infopredefined data types such as float or dateyes
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.no
Secondary indexesno
SQL infoSupport of SQLSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Supported programming languagesJava
Python
R
Scala
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnone
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
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
EventStoreDBGBaseSpark SQL
Recent citations in the news

EventStoreDB 20.10 Released with Support for gRPC and Improved Security
7 January 2021, InfoQ.com

AxonDB, a New Implementation of an Event Store
27 February 2018, InfoQ.com

Eventuate Platform Adds Support for Micronaut, Enhanced Developer Tooling and Improved Performance
5 August 2020, InfoQ.com

provided by Google News

Apache Spark Brings Pandas API with Version 3.2
4 November 2021, InfoQ.com

Compare Hadoop vs. Spark vs. Kafka for your big data strategy
15 November 2021, TechTarget

How Much Do Data Scientists Make?
1 December 2021, iLounge

2015 - Spark Takes the Big Data World by Storm
1 July 2021, Datanami

Microsoft : Accelerate big data analytics with Spark 3.0 connector for SQL Server—now generally available
13 July 2021, marketscreener.com

provided by Google News

Job opportunities

Lead DevOps Engineer
SkuVault, Louisville, KY

Data Scientist: 21-07353
Akraya Inc., California

Backline Spark TSE
Databricks, Remote

Data Scientist
Ford Motor Company, Dearborn, MI

Azure Engineer
NR Consulting LLC, Chesterbrook, PA

ETL Cloud Engineer (Hadoop/Spark/SQL)
ACS Group, Columbus, OH

jobs by Indeed



Share this page

Featured Products

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 80GB free.

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

Neo4j logo

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

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here