DBMS > EventStoreDB vs. FileMaker vs. GridGain vs. SAP Advantage Database Server vs. Transwarp Hippo

System Properties Comparison EventStoreDB vs. FileMaker vs. GridGain vs. SAP Advantage Database Server vs. Transwarp Hippo

Editorial information provided by DB-Engines

Name

SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

Industrial-strength, open-source database solution built from the ground up for event sourcing.

FileMaker is a cross-platform RDBMS that includes a GUI frontend.

GridGain is an in-memory computing platform, built on Apache Ignite

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

Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets

Primary database model

Event Store

Relational DBMS

Key-value store
Relational DBMS

Relational DBMS

Vector DBMS

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

Score	1.10
Rank	#179	Overall
	#1	Event Stores

Score	48.20
Rank	#20	Overall
	#14	Relational DBMS

Score	1.47
Rank	#154	Overall
	#26	Key-value stores
	#72	Relational DBMS

Score	0.00
Rank	#383	Overall
	#13	Vector DBMS

Website

www.eventstore.com

www.claris.com/filemaker

www.gridgain.com

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

www.transwarp.cn/en/subproduct/hippo

Technical documentation

developers.eventstore.com

www.claris.com/resources/documentation

www.gridgain.com/docs/index.html

Developer

Event Store Limited

Claris

a subsidiary of Apple

GridGain Systems, Inc.

Sybase, SAP

Initial release

2012

1983

2007

1993

2023

Current release

21.2, February 2021

19.4.1, November 2021

GridGain 8.5.1

1.0, May 2023

License

Commercial or Open Source

Open Source

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, C++, .Net

C++

Server operating systems

Linux
Windows

iOS

client part only
Linux
OS X
Windows

Linux
OS X
Solaris
Windows

Linux
Windows

Linux
macOS

Data scheme

yes

Typing

predefined data types such as float or date

yes

Vector, Numeric and String

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.

yes

A http query request can return the data in XML format

yes

Secondary indexes

yes

SQL

Support of SQL

yes

via plugins

ANSI-99 for query and DML statements, subset of DDL

yes

APIs and other access methods

Filemaker WebDirect
JDBC
ODBC

HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

RESTful HTTP API

Supported programming languages

PHP

C#
C++
Java
PHP
Python
Ruby
Scala

Delphi
Perl
PHP

C++
Java
Python

Server-side scripts

Stored procedures

yes

yes (compute grid and cache interceptors can be used instead)

yes

Triggers

yes

yes (cache interceptors and events)

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication, warm standby

since Version 14

yes (replicated cache)

Multi-source replication

CONFLICT Trigger to resolve replication conflicts
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes (compute grid and hadoop accelerator)

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

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

yes

User concepts

Access control

simple rights management via user accounts and connection to external directory services

Security Hooks for custom implementations

fine grained access rights according to SQL-standard

Role based access control and fine grained access rights

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