DBMS > Apache Jena - TDB vs. Google Cloud Spanner vs. Heroic vs. Newts vs. SAP Advantage Database Server

System Properties Comparison Apache Jena - TDB vs. Google Cloud Spanner vs. Heroic vs. Newts vs. SAP Advantage Database Server

Editorial information provided by DB-Engines

Name

Description

A RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena framework

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.

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

Time Series DBMS based on Cassandra

Low-cost RDBMS with access to ISAM and FoxPro data structures

Primary database model

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

Score	3.02
Rank	#102	Overall
	#3	RDF stores

Score	3.68
Rank	#92	Overall
	#48	Relational DBMS

Score	0.22
Rank	#285	Overall
	#25	Time Series DBMS

Score	0.00
Rank	#354	Overall
	#33	Time Series DBMS

Score	3.68
Rank	#91	Overall
	#47	Relational DBMS

Website

jena.apache.org/documentation/tdb/index.html

cloud.google.com/spanner

spotify.github.io/heroic/#!/index

opennms.github.io/newts

www.sap.com/products/advantage-database-server.html

Technical documentation

jena.apache.org/documentation/tdb/index.html

cloud.google.com/spanner/docs

spotify.github.io/heroic/#!/docs/overview

github.com/OpenNMS/newts/wiki

Developer

Apache Software Foundation

originally developed by HP Labs

Google

Spotify

OpenNMS Group

Sybase, SAP

Initial release

2000

2017

2014

1993

Current release

4.3.2, December 2021

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

commercial

Open Source

Apache 2.0

Open Source

Apache 2.0

commercial

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

Java

Server operating systems

All OS with a Java VM

hosted

Linux
OS X
Windows

Linux
Windows

Data scheme

yes

RDF Schemas

yes

schema-free

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

yes

via Elasticsearch

yes

SQL

Support of SQL

yes

Query statements complying to ANSI 2011

yes

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

gRPC (using protocol buffers) API
JDBC

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

HQL (Heroic Query Language, a JSON-based language)
HTTP API

HTTP REST
Java API

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

Supported programming languages

Java

Go
Java
JavaScript (Node.js)
Python

Java

Delphi
Perl
PHP

Server-side scripts

Stored procedures

yes

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on Cassandra

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication with 3 replicas for regional instances.

yes

selectable replication factor

based on Cassandra

Multi-source replication

CONFLICT Trigger to resolve replication conflicts
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

using Google Cloud Dataflow

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Foreign keys

Referential integrity

yes

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

yes

Transaction concepts

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

ACID

TDB Transactions

ACID

Strict serializable isolation

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.

caching of (temporary) tables can be configured

User concepts

Access control

Access control via Jena Security

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

fine grained access rights according to SQL-standard

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

Security Bulletin 11 May 2022
11 May 2022, Cyber Security Agency of Singapore

Security Bulletin 18 May 2022
18 May 2022, Cyber Security Agency of Singapore

There's a NoSQL Database for That
22 July 2021, Datanami

provided by Google News

Google Needs Another Database To Attack Oracle, DB2, And SQL Server Directly
16 May 2022, The Next Platform

Google Cloud Spanner Gets Change Streams
6 April 2022, Datanami

CockroachDB’s 22.1 update aims to help prototype faster, scale on demand
25 May 2022, InfoWorld

Google Opens Up Spanner Database With PostgreSQL Interface
13 October 2021, The Next Platform

Cloud Spanner Introduces Committed Use Discounts
19 March 2022, InfoQ.com

provided by Google News

Job opportunities

Analytic Developer
GliaCell Technologies, Hanover, MD

Research Engineer for Natural Language Processing and Knowledge Engineering
Bosch Group, Sunnyvale, CA

Artificial Intelligence Developer
BLH Technologies, Inc., Rockville, MD

Data Discovery Developer - Scientific Computing & Data
Mount Sinai, New York, NY

Senior Manager, Software Engineering DevSecOps
Thermo Fisher Scientific, Carlsbad, CA

Google Cloud Platform Solution Architecture
Deloitte, Honolulu, HI

Google Cloud Platform Solution Architecture
Deloitte, Davenport, IA

Google Cloud Platform Solution Architecture
Deloitte, Providence, RI

Google Cloud Platform Solution Architecture
Deloitte, New Carrollton, MD

Google Cloud Platform Solution Architecture
Deloitte, Kansas City, MO

jobs by

Share this page