DB-EnginesExtremeDB: the mission critical dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Spark SQL vs. Splice Machine vs. WakandaDB

System Properties Comparison Spark SQL vs. Splice Machine vs. WakandaDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonSplice Machine  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.58
Rank#36  Overall
#22  Relational DBMS
Score1.09
Rank#194  Overall
#93  Relational DBMS
Score0.05
Rank#376  Overall
#21  Object oriented DBMS
Websitespark.apache.org/­sqlsplicemachine.comwakanda.github.io
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldoc.splicemachine.comdoc.wakanda.org/­home2.en.html#/­Datastore/­Introduction.200-588937.en.html
DeveloperApache Software FoundationSplice MachineWakanda SAS
Initial release201420142012
Current release3.3.0 ( 2.13), June 20223.1, March 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoAGPLv3, extended commercial license available
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 languageScalaJavaC++, JavaScript
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
JDBC
Native Spark Datasource
ODBC
RESTful HTTP API
Supported programming languagesJava
Python
R
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresnoyes infoJavayes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
Spark SQLSplice MachineWakandaDB
News

How to Break Data Silos to Drive Enterprise-Wide AI
11 June 2021

Point-in-Time Correctness in Machine Learning
1 June 2021

The Compliance Nightmare Lurking in Your Data Science Team
6 May 2021

Whose Job Is It Anyway?
23 April 2021

How Optimizing MLOps Can Revolutionize Enterprise AI
15 April 2021

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
Spark SQLSplice MachineWakandaDB
Recent citations in the news

Power BI vs. Tibco Spotfire: Software Comparison 2022 | eWEEK
20 September 2022, eWeek

Aerospike Database 6.1 Release Introduces Additional Secondary Index Features and Support for Complex Queries
6 September 2022, Database Trends and Applications

Everything You Need to Know About Data Lakehouses
8 September 2022, KDnuggets

Top Big Data Tools For Data Science And Machine Learning Projects in 2022
7 September 2022, MarkTechPost

A Complete Guide to PySpark Data Frames
12 July 2022, Built In

provided by Google News

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine Learning
19 January 2021, PR Newswire

Unified MLOps: Feature Stores and Model Deployment
13 May 2022, InfoQ.com

Real-time Data and Database Design: Why You Should Sweat the Small Stuff
1 June 2022, RTInsights

Splice Machine raises $16 million for unified machine learning platform
20 February 2019, VentureBeat

provided by Google News

Job opportunities

Data Egineer
Career Soft Solutions, Seattle, WA

Big Data Engineer
Phasorsoft LLC, Redmond, WA

Business Intelligence Engineer, Amazon Shipping
Amazon.com Services LLC, Bellevue, WA

Data Engineer, AWS Infrastructure Supply Chain Automation
Amazon Data Services, Inc., Seattle, WA

Applied Machine Learning Scientist (Virtual)
Grainger, Illinois

Hadoop Developer / Admin Jr
Unisoft Technology Inc., Gaithersburg, MD

jobs by Indeed



Share this page

Featured Products

Neo4j logo

Neo4j NODES 2022
Free online conference for developers and data scientists.
November 16/17 2022.
Register now for free!

Redis logo

The world’s most loved real‑time data platform.
Try free

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

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.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here