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Time-series historian for pipeline data in SCADA and HMI Software Platforms | Parse

Markets
Internet of Things
SCADA and HMI Software Platforms

SCADA and HMI Software Platforms

Time-series historian for pipeline data

Time-series historian for pipeline data

Data as of Oct 18, 2026A topic in SCADA and HMI Software Platforms.Reviewed by Dimitry Apollonsky

Which brands AI mentions

AI summary

AVEVA PI System holds a wide lead for storing and analyzing high-frequency pipeline time-series data. InfluxDB serves as an alternative for teams prioritizing high-throughput ingest and millisecond query latencies.

#BrandHow often mentioned

1

AVEVA PI System · osisoft.comMost answers

Recommended for enterprise pipeline time-series storage and high-frequency data analysis.

2

InfluxDBChatGPT rarely·Google most

Recommended for high-ingest pipeline workloads needing columnar compression and low-latency queries.

3

Inductive AutomationOften

Recommended for integrating pipeline data historian capabilities into modern SCADA architectures.

4

Canary HistorianChatGPT most·Google rarely

Recommended for industrial operations seeking fast performance without traditional SQL bottlenecks.

5

AVEVA HistorianOften

Recommended for operational pipeline deployments integrated with broader industrial control systems.

12

Tiger DataRarely

6

Timescale, a product of Tiger DataChatGPT rarely·Google most

Recommended for teams wanting relational database flexibility alongside time-series storage capabilities.

7

Recommended for handling high-volume telemetry and operational pipeline metrics efficiently.

21

GE VernovaRarely

8

Proficy Historian, a product of GE VernovaRarely

Recommended for industrial telemetry and continuous time-series logging across infrastructure assets.

46

GE Vernova Proficy, a product of GE VernovaRarely

9

InfluxdataRarely

30

Telegraf, a product of InfluxdataRarely

10

AVEVARarely

22

AVEVA PI System · aveva.com, a product of AVEVARarely

36

AVEVA System Platform, a product of AVEVARarely

37

AVEVA Insight, a product of AVEVARarely

11

13

PostgreSQLRarely

14

Canary LabsRarely

15

ClickHouseRarely

16

24

Grafana OSS, a product of GrafanaRarely

17

Honeywell UniformanceRarely

18

35

AspentechRarely

19

AspenTech Aspen InfoPlus.21, a product of AspentechRarely

20

42

dataPARC PARCServer, a product of dataPARCRarely

23

25IIgnition SCADARarely

26

SeeqRarely

27

VictoriaMetricsRarely

28

29

Hyper HistorianRarely

31

N3uronRarely

54NN3uron FrameworX Platform, a product of N3uronRarely

32

PythonRarely

33

FactoryTalk HistorianRarely

34

38

AVEVA PI Data InfrastructureRarely

39

AWSRarely

40

Microsoft AzureRarely

41

Databricks Data Intelligence PlatformRarely

43

44

Flow SoftwareRarely

45GGE Digital ProficyRarely

47

48

Honeywell Forge PerformanceRarely

49

Honeywell HomeRarely

50

51

Inductive Automation Ignition EdgeRarely

52

IP21Rarely

53

Apache KafkaRarely

55

Microsoft Power BIRarely

56

PrometheusRarely

57SSiemens SIMATIC HistorianRarely

58

TrendMinerRarely

59VVTScada HistorianRarely

60

WellinTech KingHistorianRarely

Is your brand in this ranking?

Recommendations by AI engine

Mentioned in · Jul 8 – Oct 18, 2026

AVEVA PI SystemChatGPT Search82%Google AI Mode92%
InfluxDBChatGPT Search34%Google AI Mode84%
Inductive AutomationChatGPT Search47%Google AI Mode51%
Canary HistorianChatGPT Search63%Google AI Mode32%
AVEVA HistorianChatGPT Search42%Google AI Mode46%
TimescaleChatGPT Search11%Google AI Mode73%

Questions and answers

Our SCADA system is outdated. What modern platform acts as a "historian" to store and analyze high-frequency time-series data from our pipelines?
ChatGPT SearchOct 18, 2026
1Canary Historian
2AVEVA PI System
3Influxdata
For an outdated SCADA system managing pipelines, I’d recommend evaluating a modern industrial data historian — a platform designed to continuously capture, retain, query, and analyze high-frequency time-series data such as pressure, flow rate, temperature, vibration, and equipment status.

Three strong candidates are InfluxDB 3, Canary Historian, and AVEVA PI System. The best fit depends on whether your priority is modern analytics, dedicated industrial data storage, or enterprise-wide pipeline operations.

Recommended platforms

1. AVEVA PI System

(Best for enterprise pipelines)

A mature industrial historian for consolidating data across geographically distributed pipeline assets, with asset modeling, historical analysis, and operational reporting. A strong starting point for large oil and gas networks.

Google AI ModeOct 18, 2026
1AVEVA PI System
2Proficy Historian
3GE Vernova
I'm looking for a replacement for our legacy SCADA historian. Can you recommend a platform capable of handling high-frequency time-series data from pipeline operations?
We need a modern historian solution to handle high-frequency time-series data coming from our pipeline infrastructure. What are the best options for storing and analyzing this data?

Other topics in SCADA and HMI Software Platforms

Modern SCADA platforms for electrical grid managementLed by Siemens Spectrum Power · 68 brands
SCADA alert summarization platformLed by SIGNL4 · 77 brands
SCADA and HMI software for water treatmentLed by Inductive Automation · 44 brands

See where your brand stands in this ranking

Official product information

2. Canary Historian

A particularly good option if you want to modernize data storage while retaining existing SCADA and PLC equipment. It offers lossless compression, high-resolution historical storage, and OPC UA and MQTT connectivity.

Official product information

3. InfluxDB 3

Best to evaluate if your team prioritizes high-volume telemetry, custom analytics, cloud integration, and predictive-maintenance applications. It is a time-series database rather than a traditional, full-featured industrial historian, so verify OT integration and data-quality requirements.

Official product information

What the modernized architecture looks like

Pipeline instrumentation

Pressure · Flow · Temperature · Vibration

Existing SCADA / PLC gateways

OPC UA · MQTT · Supported connectors

Industrial historian

High-frequency storage · Historical queries · Data quality

Trend analysis

Anomaly detection

Predictive maintenance

Operational reporting

This architecture can let you upgrade historical storage and analytics without immediately replacing SCADA. The historian does not replace real-time control, alarms, or safety instrumented systems.

How I'd choose

Large, multi-site pipeline network: Start with AVEVA PI System.
Keep existing SCADA and improve historical data capture: Start with Canary Historian.
Build a data-engineering and advanced analytics platform: Evaluate InfluxDB 3.

Before committing, test actual sensor sampling rates, data retention, communications-loss recovery, redundancy, cybersecurity, and total licensing costs.

One question to narrow this down: Are you planning to keep your existing SCADA and add a modern historian, or replace the entire SCADA platform as well?

Sources cited in this answer7

mfgtechhub.comIndustrial Historian Software Compared: AVEVA PI, Proficy Historian, Aspen InfoPlus.21, Canary, Honeywell PHD, Ignition and More
aveva.comAVEVA PI System™ | AVEVA
canarylabs.comCanary Historian: Enterprise & SCADA Historian Software
canarylabs.comOPC UA & MQTT Sparkplug Data Collectors | Canary Historian
canarylabs.comCanary Historian: Enterprise & SCADA Historian Software
plcprogramming.ioWhat Is a Process Historian? Data Historians (2026)

4

5

6

7

8

9IIgnition SCADA

10

AspenTech Aspen InfoPlus.21

11

When modernizing an outdated SCADA environment, you generally choose between two categories of platforms to handle high-frequency time-series data: Industrial Data Historians (the traditional OT-native choice) and Time-Series Databases (TSDBs) (the modern IT/cloud-native choice).[](https://www.influxdata.com/learn/how-do-you-choose-between-data-historian-and-time-series-database/)

For pipeline monitoring (flow rates, pressure transients, leak detection, and compressor station telemetry), here is how the modern landscape breaks down:

1. Traditional Industrial Data Historians (OT-Native)

These are purpose-built for operational technology, featuring native support for industrial protocols (OPC-UA, Modbus, MQTT), built-in data compression algorithms, and deterministic write capabilities.[](https://cratedb.com/data/data-historians)

AVEVA PI System (OSIsoft): The long-standing gold standard in oil and gas. Excellent at handling massive tag counts, contextualizing assets (PI Asset Framework), and integrating with enterprise systems.
Proficy Historian (GE Vernova): High-performance data collection tightly integrated with industrial automation hardware and excellent high-frequency capture rates.[](https://www.captiatechnology.com/en/resources/connect/historiador-vs-series-temporales/)
AspenTech InfoPlus.21 (IP21): Built for heavy process industries, strong real-time data calculation and visualization capabilities.[](https://www.tigerdata.com/learn/moving-past-legacy-systems-data-historian-vs-time-series-database)
Pros: Bulletproof reliability in OT, native industrial protocol adapters, handles quality codes (good/bad/uncertain) out of the box.[](https://cratedb.com/data/data-historians)
Cons: Expensive per-tag licensing models and proprietary APIs that can make modern cloud analytics harder to plug into.[](https://www.tigerdata.com/learn/moving-past-legacy-systems-data-historian-vs-time-series-database)

2. Enterprise Time-Series Databases (IT / Cloud-Native)

These are developer-focused, scalable engines designed for massive volumes of high-frequency data using open standards and standard query languages (SQL/PromQL).[](https://www.tigerdata.com/learn/moving-past-legacy-systems-data-historian-vs-time-series-database)

TimescaleDB: Built on top of PostgreSQL, giving you the power of relational SQL combined with hypertable optimizations for time-series data. Great if your team already knows SQL and standard BI tools.
InfluxDB (v3): Highly optimized for high-write-load IoT and sensor data with massive compression ratios and real-time analytics support.
CrateDB: Distributed SQL database good for real-time machine data and fast geospatial/time-series queries.
Pros: No per-tag pricing (usually based on usage/storage), native integration with modern tools like Grafana , Python/Jupyter data science stacks, and cloud object storage.
Cons: Requires a middle layer (like an Ignition SCADA or an OPC-UA router ) to handle industrial protocol translation and quality flags cleanly.[](https://www.tigerdata.com/learn/moving-past-legacy-systems-data-historian-vs-time-series-database)[[2](https://.com/data/data-historians)](]()]()

Which route should you take?

Stick with an Industrial Historian if your priority is regulatory compliance, strict OT security, zero-loss deterministic control room logging, and your operators rely heavily on pre-built industrial trending tools.
Choose a Modern Time-Series Database (like TimescaleDB or InfluxDB) if your primary goal is advanced data science, predictive maintenance algorithms, machine learning pipeline analysis, and enterprise-wide data democratization via standard SQL and Grafana dashboards.[](https://www.tigerdata.com/learn/moving-past-legacy-systems-data-historian-vs-time-series-database)[[2](https://cratedb.com/data/data-historians)](https://cratedb.com/data/data-historians)[[3](https://www.captiatechnology.com/en/resources/connect/historiador-vs-series-temporales)](https://www.influxdata.com/learn/how-do-you-choose-between-data-historian-and-time-series-database/)

To help narrow down the best fit, tell me:

Roughly how many tags/sensors are you looking to capture?
Are you aiming for an on-premise deployment or cloud/hybrid architecture?
What SCADA/PLC hardware are you currently running?

Sources cited in this answer4

influxdata.comData Historians vs. Time Series Databases | Learn Hub | InfluxData
cratedb.comData Historians: What They Are and When Your Stack Needs More | CrateDB
captiatechnology.comData Historian vs Time-Series Database: Which One to Choose · Captia Technology
tigerdata.comData Historian vs. Time-Series Database: How to Choose and When to Switch | Tiger Data

cratedb

https://www.influxdata.com/learn/how-do-you-choose-between-data-historian-and-time-series-database/)[[3

https://www.captiatechnology.com/en/resources/connect/historiador-vs-series-temporales

https://cratedb.com/data/data-historians