DBMS > EXASOL vs. Google Cloud Spanner vs. Tkrzw

System Properties Comparison EXASOL vs. Google Cloud Spanner vs. Tkrzw

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

High-performance, in-memory, MPP database specifically designed for in-memory analytics.

A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

Primary database model

Relational DBMS

Key-value store

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

Score	2.85
Rank	#118	Overall
	#61	Relational DBMS

Score	3.62
Rank	#100	Overall
	#49	Relational DBMS

Score	0.00
Rank	#404	Overall
	#67	Key-value stores

Website

www.exasol.com

cloud.google.com/spanner

dbmx.net/tkrzw

Technical documentation

www.exasol.com/resources

cloud.google.com/spanner/docs

Developer

Exasol

Google

Mikio Hirabayashi

Initial release

2000

2017

2020

Current release

0.9.3, August 2020

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

Server operating systems

hosted

Linux
macOS

Data scheme

yes

schema-free

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

yes

SQL

Support of SQL

yes

Query statements complying to ANSI 2011

APIs and other access methods

.Net
JDBC
ODBC
WebSocket

gRPC (using protocol buffers) API
JDBC

At present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API

Supported programming languages

Java
Lua
Python
R

Go
Java
JavaScript (Node.js)
Python

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication with 3 replicas for regional instances.

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

yes

using Google Cloud Dataflow

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

by using interleaved tables, this features focuses more on performance improvements than on referential integrity

Transaction concepts

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

ACID

Strict serializable isolation

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

using specific database classes

User concepts

Access control

Access rights for users, groups and roles according to SQL-standard

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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

Recent citations in the news

In-Memory Database Market (2023-2030): Growth Forecast
20 September 2023, Benzinga

In-Memory Database Market Size, Research Report 2023-2031
19 September 2023, Benzinga

In memory OLAP Database Market Set to Witness Explosive Growth ...
14 September 2023, Laguna Now

How APIs Are Shaping the Next Wave of Secure Data Interoperability
30 August 2023, CDOTrends

How Strategic CFOs Can Become More Effective Data Storytellers
20 September 2023, The Financial Brand

provided by Google News

Google’s Cloud Spanner Data Boost is now generally available
29 August 2023, TechCrunch

Google Cloud Injected With Duet AI: 7 Huge New AI Features
29 August 2023, CRN

Duet AI, Google’s AI assistant suite, expands across Google Cloud
29 August 2023, TechCrunch

Duet AI Goes Everywhere in Google's Cloud
29 August 2023, Datanami

Google brings new AI to AlloyDB and database migration service
29 August 2023, VentureBeat

provided by Google News

Job opportunities

Software Developer
Grant Street Group, Remote

Senior Software Developer – Flex Schedule
Grant Street Group, Remote

Head of Revenue Operations & Commercial Delivery (f/m/d)
Exasol, United States

DATA ENGINEER II
TE Connectivity, Middletown, PA

Solutions Engineer
Exasol, United States

Principal Engineer, Query Processing, Spanner, Google Cloud
Google, Kirkland, WA

Google Cloud Platform Data Engineer
Publicis Sapient, Chicago, IL

Google Cloud Platform Data Engineer
Publicis Sapient, Boston, MA

Google Cloud Platform Data Engineering Senior Manager
Publicis Sapient, Atlanta, GA

Senior Google Cloud Engineer/SME
Maestro Technologies Inc, Dallas, TX

jobs by

Share this page