DBMS > Speedb vs. Vertica vs. WakandaDB

System Properties Comparison Speedb vs. Vertica vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

An embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB

Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Key-value store

Relational DBMS

Column oriented

Object oriented DBMS

Secondary database models

Spatial DBMS
Time Series DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.11
Rank	#333	Overall
	#47	Key-value stores

Score	9.63
Rank	#42	Overall
	#26	Relational DBMS

Score	0.03
Rank	#359	Overall
	#17	Object oriented DBMS

Website

www.speedb.io

www.vertica.com

wakanda.github.io

Technical documentation

vertica.com/documentation

wakanda.github.io/doc

Developer

Speedb

OpenText

previously Micro Focus and Hewlett Packard

Wakanda SAS

Initial release

2020

2005

2012

Current release

12.0.3, January 2023

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

Apache Version 2.0; commercial license available

commercial

Limited community edition free

Open Source

AGPLv3, extended commercial license available

Cloud-based only

Only available as a cloud service

on-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

C++, JavaScript

Server operating systems

Linux
Windows

Linux

Linux
OS X
Windows

Data scheme

schema-free

Yes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

No Indexes Required. Different internal optimization strategy, but same functionality included.

SQL

Support of SQL

Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.

APIs and other access methods

ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL

character-based, interactive, front-end utility

RESTful HTTP API

Supported programming languages

C
C++
Go
Java
Perl
Python
Ruby

C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R

JavaScript

Server-side scripts

Stored procedures

yes, PostgreSQL PL/pgSQL, with minor differences

yes

Triggers

yes, called Custom Alerts

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

horizontal partitioning, hierarchical partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication

One, or more copies of data replicated across nodes, or object-store used for repository.

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Bi-directional Spark integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

yes

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More resources

Recent citations in the news

Redis expands data management capabilities with Speedb acquisition
22 March 2024, Blocks and Files

Redis acquires storage engine startup Speedb to enhance its open-source database
21 March 2024, SiliconANGLE News

Redis switches licenses, acquires Speedb to go beyond its core in-memory database
21 March 2024, TechCrunch

Data unicorn Redis acquires Israeli startup Speedb to boost platform with data storage engine
21 March 2024, CTech

Intel Xeon 6780E / Xeon 6766E 144-Core Performance Benchmarks
3 June 2024, Phoronix

provided by Google News

Introducing the Future of Data Analysis: A Revolutionary Tool for Vertica Users
25 October 2024, blogs.opentext.com

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20 June 2024, blogs.opentext.com

Querying a Vertica data source in Amazon Athena using the Athena Federated Query SDK
11 February 2021, AWS Blog

Solving Big Data Challenges with Data Science at Uber
20 March 2019, Uber

New browser-based query editor for OpenText Core Analytics Database accelerates and simplifies querying your data
25 November 2024, blogs.opentext.com

provided by Google News

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