DBMS > BigObject vs. FileMaker vs. SAP HANA vs. StarRocks

System Properties Comparison BigObject vs. FileMaker vs. SAP HANA vs. StarRocks

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for real-time computations and queries

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

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

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Relational DBMS

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	0.19
Rank	#329	Overall
	#146	Relational DBMS

Score	47.91
Rank	#20	Overall
	#14	Relational DBMS

Score	44.27
Rank	#23	Overall
	#16	Relational DBMS

Score	0.93
Rank	#198	Overall
	#93	Relational DBMS

Website

bigobject.io

www.claris.com/filemaker

www.sap.com/products/hana.html

www.starrocks.io

Technical documentation

docs.bigobject.io

www.claris.com/resources/documentation

help.sap.com/hana

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

Developer

BigObject, Inc.

Claris

a subsidiary of Apple

SAP

The Linux Foundation

since Feb 2023

Initial release

2015

1983

2010

2020

Current release

19.4.1, November 2021

2.0 SPS07 (April 4, 2023), April 2023

3.3, June 2024

License

Commercial or Open Source

commercial

free community edition available

commercial

Open Source

Apache Version 2.0

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

C++, Java

Server operating systems

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

iOS

client part only
Linux
OS X
Windows

Appliance or cloud-service

Linux

Data scheme

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.

yes

A http query request can return the data in XML format

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

yes

via plugins

yes

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

Filemaker WebDirect
JDBC
ODBC

JDBC
ODBC

JDBC
MySQL protocol

Supported programming languages

PHP

Java

Server-side scripts

Stored procedures

Lua

yes

SQLScript, R

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

horizontal partitioning (by range and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication, warm standby

since Version 14

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

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

User concepts

Access control

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

yes

Role based access control and fine grained access rights

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.