DBMS > Apache IoTDB vs. Geode vs. SAP Advantage Database Server

System Properties Comparison Apache IoTDB vs. Geode vs. SAP Advantage Database Server

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and Flink

Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes

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

Primary database model

Time Series DBMS

Key-value store

Relational DBMS

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

Score	0.79
Rank	#258	Overall
	#21	Time Series DBMS

Score	3.16
Rank	#113	Overall
	#23	Key-value stores

Score	2.97
Rank	#120	Overall
	#61	Relational DBMS

Website

iotdb.apache.org

geode.apache.org

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

Technical documentation

iotdb.apache.org/UserGuide/Master/QuickStart/QuickStart.html

geode.apache.org/docs

Developer

Apache Software Foundation

Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.

Sybase, SAP

Initial release

2018

2002

1993

Current release

1.1.0, April 2023

1.1, February 2017

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache Version 2; commercial licenses available as Gemfire

commercial

Cloud-based only

Only available as a cloud service

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 (>= 1.8)

All OS with a Java VM

the JDK (8 or later) is also required

Linux
Windows

Data scheme

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

SQL

Support of SQL

SQL-like query language

SQL-like query language (OQL)

yes

APIs and other access methods

JDBC
Native API

Java Client API
Memcached protocol
RESTful HTTP API

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

Supported programming languages

C
C#
C++
Go
Java
Python
Scala

.Net
All JVM based languages
C++
Groovy
Java
Scala

Delphi
Perl
PHP

Server-side scripts

Stored procedures

yes

user defined functions

yes

Triggers

yes

Cache Event Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by time range) + vertical partitioning (by deviceId)

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicas

Multi-source replication

CONFLICT Trigger to resolve replication conflicts
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Integration with Hadoop and Spark

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Strong Consistency with Raft

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes, on a single node

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

caching of (temporary) tables can be configured

User concepts

Access control

yes

Access rights per client and object definable

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

Apache IoTDB 1.1 Released For Open-Source Time-Series Database
3 April 2023, Phoronix

Apache IoTDB 1.0 Released As An "Internet of Things Database"
4 December 2022, Phoronix

Apache EventMesh Reaches Top Level Status
17 April 2023, iProgrammer

provided by Google News

High-Performance Data Processing with Spring Cloud Data Flow ...
28 June 2020, InfoQ.com

RDBMS and Apache Geode Data Movement: Low Latency ETL ...
30 June 2018, InfoQ.com

The Apache Software Foundation Welcomes VMware as its Newest ...
3 March 2022, GlobeNewswire

Distributed Caching on Cloud
16 June 2022, The New Stack

HPE buys query acceleration platform Ampool to boost Ezmeral ...
7 July 2021, SiliconANGLE News

provided by Google News

UPCOMING EVENTS | serenityacademy
29 April 2023, sapads.net

SAP Advantage Database Server
10 February 2023, docs.datavirtuality.com

Our Team
18 February 2023, sapads.net

SAP ADS 12 SP02 now certified for Windows Server 2019
19 June 2020, blogs.sap.com

Digital Transformation|BI|RPA|ITConsulting
12 May 2023, zoftsolutions.com

provided by Google News

Job opportunities

Data Scientist, TRADOC G-2
Yorktown Systems Group, Fort Eustis, VA

Data Architect
SPR, Chicago, IL

jobs by

Share this page