Go Faster.
Grow Bigger.

Designed from the ground up to handle

Millions of Writes Per Second
Petabytes of Time Series Data
Millions of Reads per second
IoT and Big Data Analysis

When to use GridDB?

RDBMS can be used as the core for IoT and Big Data Systems, but often a hybrid approach with specialized databases like GridDB offers better performance, scalability, and efficiency.

High Performance

GridDB’s hybrid composition of In-Memory and Disk architecture is designed for maximum performance. I/O is a common bottleneck in any DBMS that can cause the CPU to be under-utilized. GridDB overcomes this bottleneck with the ‘Memory first, Storage second’ structure where the ‘primary’ data that is frequently accessed resides in memory and the rest is passed on to disks (SSD and HDD).

Read the Whitepaper

GridDB Performance vs MariaDB
13x Faster Ingest

32,000 OPS
GridDB
0%
MariaDB
0%
2,000 OPS

High Scalability

Various architectural innovations, such as in-memory orientation with "memory as the main unit and disk as the secondary unit" and event-driven design with minimal overhead, have been incorporated to achieve processing capabilities that can handle petabyte-scale applications.

Read the Whitepaper

GridDB Performance vs Cassandra

Screenshot-2024-10-25-at-7.15.32 AM.png

Optimized for IoT and Time Series Data

GridDB’s Key Container data model and Time Series functions are built for IoT. The Key Container data model of GridDB extends the typical NoSQL Key-Value store. The Key Container model represents data in the form of collections that are referenced by keys. The key and container are rough equivalents of the table name and table data in Relational Databases (RDB). Data modeling in GridDB is easier than with other NoSQL databases as we can define the schema and design the data similar to that of an RDB.

Read the Whitepaper

GridDB Performance vs Cassandra

Screenshot-2024-11-01-at-10.25.56 AM-e1731027133380.png
What's New
Installation instructions and Web CLI
Optimized for Developers

Hybrid NoSQL Interface for Data Ingestion and SQL for Query

				
					// for more information, please visit the docs
// https://docs.griddb.net/latest/gettingstarted/java/

import java.util.Properties;
import com.toshiba.mwcloud.gs.*;

Properties props = new Properties();
props.setProperty("notificationMember", "127.0.0.1:10001");
props.setProperty("clusterName", "myCluster");
props.setProperty("user", "admin");
props.setProperty("password", "admin");
GridStore store = GridStoreFactory.getInstance().getGridStore(props);
				
			
				
					static class Point {
	@RowKey Date timestamp;
	boolean active;
	double voltage;
}
TimeSeries<Point> ts = store.putTimeSeries("point01", Point.class);
Point point = new Point();
point.active = false;
point.voltage = 100;

// Store the time-series element (GridStore sets its timestamp)
ts.append(point);
				
			
				
					Date now = TimestampUtils.current();
Date before = TimestampUtils.add(now, -6, TimeUnit.HOUR);
}
RowSet<Point> rs = ts.query(before, now).fetch();
while (rs.hasNext()) {
	point = rs.next();

	System.out.println(
	"Time=" + TimestampUtils.format(point.timestamp) +
	" Active=" + point.active +
	" Voltage=" + point.voltage);
}
				
			
				
					// for more information, please visit the docs
// https://docs.griddb.net/latest/jdbcdriver/introduction/

import java.util.Properties;
import java.sql.Connection;
import java.sql.DriverManager;

String notificationMember = "127.0.0.1:20001";
String clusterName = "myCluster";
String databaseName = "public";
String username = "admin";
String password = "admin";
String encodeClusterName = URLEncoder.encode(clusterName, "UTF-8");
String encodeDatabaseName = URLEncoder.encode(databaseName, "UTF-8");
String jdbcUrl = "jdbc:gs://" + notificationMember + "/";

jdbcUrl = jdbcUrl + encodeClusterName + "/" + encodeDatabaseName;

Properties prop = new Properties();
prop.setProperty("user", username);
prop.setProperty("password", password);

Connection con = DriverManager.getConnection(jdbcUrl, prop);
				
			
				
					String str = "CREATE TABLE device";
str = str+"(ts TIMESTAMP PRIMARY KEY, co DOUBLE,";
str = str+"humidity DOUBLE,light BOOL,lpg DOUBLE,motion BOOL,smoke DOUBLE,temp DOUBLE)";
str = str+" USING TIMESERIES WITH (expiration_type='PARTITION',";
str = str+" expiration_time=90,expiration_time_unit='DAY')";
str = str+" PARTITION BY RANGE (ts) EVERY (60, DAY) SUBPARTITION BY HASH (ts) SUBPARTITIONS 64;";

Statement stmt = con.createStatement();
stmt.executeUpdate("DROP TABLE IF EXISTS device");
stmt.executeUpdate(str);
System.out.println("Successfully created device");

PreparedStatement pstmt = con.prepareStatement("INSERT into device14 (ts,co,humidity,light,lpg,motion,smoke,temp) VALUES (?,?,?,?,?,?,?,?) ");

pstmt.setTimestamp(1, new Timestamp(System.currentTimeMillis()));
pstmt.setDouble(2,0.002978);
pstmt.setDouble(3,52.2);
pstmt.setBoolean(4,false);
pstmt.setDouble(5,0.007938);
pstmt.setBoolean(6,true);
pstmt.setDouble(7,0.0368453);
pstmt.setDouble(8,23.9);
pstmt.execute();
				
			
				
					PreparedStatement pstmt = con.prepareStatement("SELECT temp from device WHERE temp > ?");
pstmt.setDouble(1, 23.0);
ResultSet rs = pstmt.executeQuery();
while( rs.next() ){
    double temp = rs.getDouble(1);
    System.out.println("SQL Row temp: " + temp);
}

con.close();
				
			
				
					# for more information, please visit the docs
# https://docs.griddb.net/latest/gettingstarted/python/

import griddb_python as griddb

factory = griddb.StoreFactory.get_instance()
DB_HOST = "127.0.0.1:10001"
DB_CLUSTER = "myCluster"
DB_USER = "admin"
DB_PASS = "admin"

try:
    # Fixed list method
    gridstore = factory.get_store(
        notification_member=DB_HOST, 
		cluster_name=DB_CLUSTER, 
		username=DB_USER, 
		password=DB_PASS)
	print("Succesfully connected to GridDB!")
except griddb.GSException as e:
    for i in range(e.get_error_stack_size()):
        print("[", i, "]")
        print(e.get_error_code(i))
        print(e.get_location(i))
        print(e.get_message(i))
				
			
				
					# Create the container
conInfo = griddb.ContainerInfo(name="device",
column_info_list=[["ts", griddb.Type.TIMESTAMP],
					["co", griddb.Type.DOUBLE],
					["humidity", griddb.Type.DOUBLE],
					["light", griddb.Type.BOOL],
					["lpg", griddb.Type.DOUBLE],
					["motion", griddb.Type.BOOL],
					["smoke", griddb.Type.DOUBLE],
					["temperature", griddb.Type.DOUBLE]],
type=griddb.ContainerType.TIME_SERIES)
ts = gridstore.put_container(conInfo)
print(conInfo.name, "container succesfully created")

# (2) Insert Data
device = gridstore.get_container("device")
if device == None:
    print("ERROR Container not found.")
device.put(["2022-09-21T12:00:01.234Z", 0.003551, 50.0,
            False, 0.00754352, False, 0.0232432, 21.6])
print("Single row successfully inserted!")
				
			
				
					query = device.query("SELECT *")
rs = query.fetch()

# Get results
while rs.has_next():
    row = rs.next()
    print("ts=", row[0], ", co=", row[1], ", humidity=", row[2], ",light=",row[3], ",lpg=", row[4], ",motion=", row[5], ",smoke=", row[6])
				
			
				
					// for more information, please visit the docs
// https://docs.griddb.net/latest/gettingstarted/nodejs/

const griddb = require('griddb-node-api');
const factory = griddb.StoreFactory.getInstance();
const store = factory.getStore({
    "notificationMember": "127.0.0.1:10001",
    "clusterName": "myCluster",
    "username": "admin",
    "password": "admin"
});
				
			
				
					const containerName = "device";
const conInfo = new griddb.ContainerInfo({
    'name': containerName,
    'columnInfoList': [
            ["ts", griddb.Type.TIMESTAMP],
            ["co", griddb.Type.DOUBLE],
            ["humidity", griddb.Type.DOUBLE],
            ["light", griddb.Type.BOOL],
            ["lpg", griddb.Type.DOUBLE],
            ["motion", griddb.Type.BOOL],
            ["smoke", griddb.Type.DOUBLE],
            ["temp", griddb.Type.DOUBLE],
    ],
    'type': griddb.ContainerType.TIME_SERIES, 'rowKey': true
});

const getRandomFloat = (min, max) => Math.random() * (max - min) + min;
  
async function createContIngestData() {

    const row = [];
    row[0] = new Date();
    row[1] = parseFloat(getRandomFloat(1, 10).toFixed(2));
    row[2] = parseFloat(getRandomFloat(1, 10).toFixed(2));
    row[3] = true;
    row[4] = parseFloat(getRandomFloat(1, 10).toFixed(2));
    row[5] = false;
    row[6] = parseFloat(getRandomFloat(1, 10).toFixed(2));
    row[7] = parseFloat(getRandomFloat(1, 10).toFixed(2));

    try {
        await store.dropContainer(containerName);
        const cont = await store.putContainer(conInfo)
        await cont.put(row);
    } catch (error) {
        console.log("error: ", error)
    }
}
				
			
				
					const queryStr = "SELECT *";

const queryCont = async (queryStr) => {
     const data = []
     try {
         const ts = await store.getContainer(containerName);
         const query = await ts.query(queryStr);
         const rs = await query.fetch(query);
         while(rs.hasNext()) {
             data.push(rs.next())
         }
         console.log("Rows: ", data);
         return data
     } catch (error) {
         console.log("Query Error: ", error)
     }
}

				
			
				
					// for more information, please visit the docs
// https://docs.griddb.net/latest/gettingstarted/go/

import griddb "github.com/griddb/go_client"
factory := griddb.StoreFactoryGetInstance()

// Get GridStore object
gridstore, err := factory.GetStore(map[string]interface{}{
	"notification_member": "127.0.0.1:10001",
	"cluster_name":        "myCluster",
	"username":            "admin",
	"password":            "admin"})
if err != nil {
	fmt.Println(err)
	panic("err get store")
}
defer griddb_go.DeleteStore(gridstore)
				
			
				
					conInfo, err := griddb_go.CreateContainerInfo(map[string]interface{} {
    "name": "col01",
    "column_info_list":[][]interface{}{
        {"name", griddb_go.TYPE_STRING},
        {"status", griddb_go.TYPE_BOOL},
        {"count", griddb_go.TYPE_LONG},
        {"lob", griddb_go.TYPE_BLOB}},
    "type": griddb_go.CONTAINER_COLLECTION,
    "row_key": true})
if (err != nil) {
    fmt.Println("Create containerInfo failed, err:", err)
    panic("err CreateContainerInfo")
}
defer griddb_go.DeleteContainerInfo(conInfo)

col, err := gridstore.PutContainer(conInfo)
if (err != nil) {
    fmt.Println("put container failed, err:", err)
    panic("err PutContainer")
}
defer griddb_go.DeleteContainer(col)

col.SetAutoCommit(false)
blob := []byte{65, 66, 67, 68, 69, 70, 71, 72, 73, 74}
err = col.Put([]interface{}{"name01", false, 1, blob})
if (err != nil) {
    fmt.Println("put row name01 fail, err:", err)
}
col.Commit()
				
			
				
					query, err := col.Query("select *")
if (err != nil) {
    fmt.Println("create query failed, err:", err)
    panic("err create query")
}
defer griddb_go.DeleteQuery(query)

// Execute query
rs, err := query.Fetch(update)
if (err != nil) {
    fmt.Println("fetch failed, err:", err)
    panic("err create rowset")
}
defer griddb_go.DeleteRowSet(rs)

for rs.HasNext() {
    rrow, err := rs.NextRow()
    if (err != nil) {
        fmt.Println("NextRow from rs failed, err:", err)
        panic("err NextRow from rowset")
    }

    rrow[2] = rrow[2].(int) + 1
    fmt.Println("Person: name=", rrow[0]," status=", rrow[1]," count=", rrow[2]," lob=", rrow[3])
}
				
			
				
					# For more information, please read the docs
# https://github.com/griddb/webapi/blob/master/GridDB_Web_API_Reference.md

#Connecting to GridDB
#Make an HTTP Request to the specified port (default: 8080)

#/:cluster/dbs/:database/checkConnection

$ curl -X GET --basic -u admin:admin http://127.0.0.1:8080/griddb/v2/myCluster/dbs/public/checkConnection
				
			
				
					# http://[host]:[port]/griddb/v2/[clusterName]/dbs/public/containers 

$ curl -X POST --basic -u admin:admin -H "Content-type:application/json" http://127.0.0.1:8080/griddb/v2/myCluster/dbs/public/containers -d 
'{
"container_name": "test",
"container_type": "COLLECTION",
"rowkey": true,
"columns": [
	{
		"name": "col1",
		"type": "STRING",
		"index": [
			"TREE"
		]
	},
	{
		"name": "col2",
		"type": "INTEGER"
	},
	{
		"name": "col3",
		"type": "BOOL"
	}
]
}' 
				
			
				
					# Append a Row of Data
# http://[host]:[port]/griddb/v2/[clusterName]/dbs/public/containers/[containerName]/rows 

$ curl -X PUT --basic -u admin:admin -H "Content-type:application/json" http://127.0.0.1:8080/griddb/v2/myCluster/dbs/public/containers -d 
'[["value", 1, true]]' 
				
			
Get Started with GridDB
Install using apt repository
  1. sudo sh -c 'echo "deb https://www.griddb.net/apt griddb/5.5 multiverse" >> /etc/apt/sources.list.d/griddb.list'
  2. wget -qO - https://www.griddb.net/apt/griddb.asc | sudo apt-key add -
  3. sudo apt update
  4. sudo apt install griddb-meta
  5. sudo systemctl start gridstore
Ubuntu Documentation →
First install WSL to your Windows Machine
  1. Open up a raised (admin privileges) Windows powershell or command prompt
  2. Enter `wsl --install`
  3. Detailed instructions for WSL found: here
And then normal Ubuntu instructions
  1. sudo sh -c 'echo "deb https://www.griddb.net/apt griddb/5.5 multiverse" >> /etc/apt/sources.list.d/griddb.list'
  2. wget -qO - https://www.griddb.net/apt/griddb.asc | sudo apt-key add -
  3. sudo apt update
  4. sudo apt install griddb-meta
  5. sudo systemctl start gridstore
WSL Documentation →
After installing Docker:
  1. docker network create griddb-net
  2. docker pull griddb/griddb
  3. docker run --network griddb-net --name griddb-server -d -t griddt/griddb
Dockerhub Link →
First enable Linux
  1. Head to your chromebook's settings, find the advanced section, and then developers.
  2. You will see a setting title "Linux development environment" and select "turn on".
  3. You will then be greeted with some simple on-screen instructions.
And then normal Ubuntu instructions
  1. sudo sh -c 'echo "deb https://www.griddb.net/apt griddb/5.5 multiverse" >> /etc/apt/sources.list.d/griddb.list'
  2. wget -qO - https://www.griddb.net/apt/griddb.asc | sudo apt-key add -
  3. sudo apt update
  4. sudo apt install griddb-meta
  5. sudo systemctl start gridstore
ChromeOS Docs →
Resources
White Papers

GridDB is an open source time series database.

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