DBMS > GigaSpaces vs. Graphite vs. GreptimeDB vs. RocksDB vs. Transwarp Hippo

System Properties Comparison GigaSpaces vs. Graphite vs. GreptimeDB vs. RocksDB vs. Transwarp Hippo

Editorial information provided by DB-Engines

Name

Description

High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions

Data logging and graphing tool for time series data

The storage layer (fixed size database) is called Whisper

An open source Time Series DBMS built for increased scalability, high performance and efficiency

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

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

Primary database model

Document store
Object oriented DBMS

Values are user defined objects

Time Series DBMS

Key-value store

Vector DBMS

Secondary database models

Graph DBMS
Search engine

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

Score	1.03
Rank	#188	Overall
	#32	Document stores
	#6	Object oriented DBMS

Score	4.83
Rank	#67	Overall
	#4	Time Series DBMS

Score	0.12
Rank	#351	Overall
	#34	Time Series DBMS

Score	3.41
Rank	#86	Overall
	#11	Key-value stores

Score	0.05
Rank	#386	Overall
	#14	Vector DBMS

Website

www.gigaspaces.com

github.com/graphite-project/graphite-web

greptime.com

rocksdb.org

www.transwarp.cn/en/subproduct/hippo

Technical documentation

docs.gigaspaces.com/latest/landing.html

graphite.readthedocs.io

docs.greptime.com

github.com/facebook/rocksdb/wiki

Developer

Gigaspaces Technologies

Chris Davis

Greptime Inc.

Facebook, Inc.

Initial release

2000

2006

2022

2013

2023

Current release

15.5, September 2020

9.2.1, May 2024

1.0, May 2023

License

Commercial or Open Source

Open Source

Apache Version 2; Commercial licenses available

Open Source

Apache 2.0

Open Source

Apache Version 2.0

Open Source

BSD

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

Python

Rust

C++

Server operating systems

Linux
macOS
Solaris
Windows

Linux
Unix

Android
Docker
FreeBSD
Linux
macOS
Windows

Linux

Linux
macOS

Data scheme

schema-free

yes

schema-free, schema definition possible

schema-free

Typing

predefined data types such as float or date

yes

Numeric data only

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.

XML can be used for describing objects metadata

Secondary indexes

yes

SQL

Support of SQL

SQL-99 for query and DML statements

yes

APIs and other access methods

GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data

HTTP API
Sockets

gRPC
HTTP API
JDBC

C++ API
Java API

RESTful HTTP API

Supported programming languages

.Net
C++
Java
Python
Scala

JavaScript (Node.js)
Python

C++
Erlang
Go
Java
JavaScript

C
C++
Go
Java
Perl
Python
Ruby

C++
Java
Python

Server-side scripts

Stored procedures

yes

Python

Triggers

yes, event driven architecture

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

synchronous or asynchronous
Source-replica replication

synchronous or asynchronous

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Map-Reduce pattern can be built with XAP task executors

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Consistency level configurable: ALL, QUORUM, ANY

none

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

locking

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

Role-based access control

Simple rights management via user accounts

Role based access control and fine grained access rights

More information provided by the system vendor

Specific characteristics

GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more

Competitive advantages

- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more

Typical application scenarios

For IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more

Key customers

Greptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more

Market metrics

GreptimeDB has garnered global recognition by topping GitHub trends following its...
» more

Licensing and pricing models

GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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.