QuestDB vs. InfluxDB

Looking for peak time-series? Amplify ingestion and query speeds and significantly reduce infrastructure costs and complexity.

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Why choose QuestDB?

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Massive performance
3x-10x ingest improvement and hundreds of times faster complex queries, all on minimal hardware.
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InfluxDB Line Protocol
QuestDB offers official support for ILP and Telegraf. Migrate, improve and save money in minutes.
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Superior DevEx
Familiar and fast SQL analytics, an elegant Web Console, first-party clients, and a growing ecosystem.

Features at a glance

QuestDBInfluxDB
2M rows/second ingestion speed per server
InfluxDB Line Protocol Support
Unlimited cardinality
Analytics with SQL
Simple product portfolio
Predictable and effective pricing
Time-based SQL ASOF joins

No DSL required. Enjoy simple SQL.

Reduce complexity and accelerate time-to-value.

Downsample data

Aggregate data into one-minute intervals, reduce the granularity and size of the dataset for efficiency.

Flux

from(bucket: "example-bucket")
|> range(start: -1h)
|> filter(fn: (r) =>
r._measurement == "cpu" and
r.cpu == "cpu-total"
)
|> aggregateWindow(every: 1m, fn: mean)

QuestDB

SELECT timestamp,
avg(cpu),
avg(cpu-total)
FROM 'example-bucket'
WHERE timestamp > dateadd('h', -1, now())
SAMPLE BY 1m;

ASOF Joins

Join two tables and get a column from each table where the timestamp matches.

Flux

f1 = from(bucket: "example-bucket-1")
|> range(start: "-1h")
|> filter(fn: (r) => r._field == "f1")
|> drop(columns: "_measurement")
f2 = from(bucket: "example-bucket-2")
|> range(start: "-1h")
|> filter(fn: (r) => r._field == "f2")
|> drop(columns: "_measurement")
union(tables: [f1, f2])
|> pivot(
rowKey: ["_time"],
columnKey: ["_field"],
valueColumn: "_value"
)

QuestDB

SELECT a.timestamp, f1, b.timestamp, f2
FROM 'example-table-1' a
ASOF JOIN 'example-table-2' b;
Brightcom logo

QuestDB's remarkable performance is evident through significantly faster query response times and outstanding real-time data ingestion. Deployment and maintenance of QuestDB proved to be trivial with literally zero production hiccups for over a year now.

>Gil Ditkovski
VP Product, Brightcom

Best-in-class performance

QuestDB significantly outpaces InfluxDB in pure performance. Ingest speeds are commonly 3-10x faster while more complex queries can see orders of magnitude improvement. Break out of infrastructure bottlenecks and enjoy unlimited cardinality. Simply the fastest time series database.

Ingestion results comparing QuestDB and InfluxDB using the time series benchmark suite
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We switched from InfluxDB to QuestDB to get queries that are on average 300x faster utilizing 1/4 of the hardware, without ever overtaxing our servers.

>Armenak Mayalian
CTO, Toggle

Cost effective, hardware efficient

Confused by too many deployment options? Struggling to compute your actual costs after overages? QuestDB offers peak performance on minimal hardware, all through consistent and flat billing. No sticker shock if you ever need to drop a table or exceed designated cardinality limits. Save major dollars while gaining major performance.

6x less infrastructure related costs based on ingestion speed6xless infrastructure related costs(based on ingestion speed)
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Due to the usage-based plan restrictions of InfluxDB Serverless, it would have taken more than a week to ingest our historical data (450GB). With QuestDB Cloud, it only took 6 hours.

>Mathieu Haage
Software Engineer, HD Rain

Ready to upgrade?


Connect QuestDB to your existing InfluxDB Line Protocol clients.

Begin your upgrade in minutes.

From those who made the switch