DBMS > atoti vs. FileMaker vs. SAP HANA vs. XTDB

System Properties Comparison atoti vs. FileMaker vs. SAP HANA vs. XTDB

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Editorial information provided by DB-Engines

Name

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

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

In-memory, column based data store. Available as appliance or cloud service

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Object oriented DBMS

Relational DBMS

Document store

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	0.61
Rank	#243	Overall
	#10	Object oriented DBMS

Score	47.91
Rank	#20	Overall
	#14	Relational DBMS

Score	44.27
Rank	#23	Overall
	#16	Relational DBMS

Score	0.18
Rank	#332	Overall
	#46	Document stores

Website

atoti.io

www.claris.com/filemaker

www.sap.com/products/hana.html

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

docs.atoti.io

www.claris.com/resources/documentation

help.sap.com/hana

www.xtdb.com/docs

Developer

ActiveViam

Claris

a subsidiary of Apple

SAP

Juxt Ltd.

Initial release

1983

2010

2019

Current release

19.4.1, November 2021

2.0 SPS07 (April 4, 2023), April 2023

1.19, September 2021

License

Commercial or Open Source

commercial

free versions available

commercial

Open Source

MIT License

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Clojure

Server operating systems

iOS

client part only
Linux
OS X
Windows

Appliance or cloud-service

All OS with a Java 8 (and higher) VM
Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

yes, extensible-data-notation format

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

Secondary indexes

yes

SQL

Support of SQL

Multidimensional Expressions (MDX)

yes

via plugins

yes

limited SQL, making use of Apache Calcite

APIs and other access methods

Filemaker WebDirect
JDBC
ODBC

JDBC
ODBC

HTTP REST
JDBC

Supported programming languages

PHP

Clojure
Java

Server-side scripts

Stored procedures

Python

yes

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

none

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication, warm standby

since Version 14

yes

yes, each node contains all data

MapReduce

Offers an API for user-defined Map/Reduce methods

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, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

In-memory capabilities

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

yes

User concepts

Access control

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

yes

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