Best Time Series Databases for Microsoft Excel

Compare the Top Time Series Databases that integrate with Microsoft Excel as of October 2025

This a list of Time Series Databases that integrate with Microsoft Excel. Use the filters on the left to add additional filters for products that have integrations with Microsoft Excel. View the products that work with Microsoft Excel in the table below.

What are Time Series Databases for Microsoft Excel?

Time series databases (TSDB) are databases designed to store time series and time-stamped data as pairs of times and values. Time series databases are useful for easily managing and analyzing time series. Compare and read user reviews of the best Time Series Databases for Microsoft Excel currently available using the table below. This list is updated regularly.

  • 1
    NumXL

    NumXL

    SPIDER FINANCIAL CORP

    NumXL is a suite of time series Excel add-ins. It transforms your Microsoft Excel application into a first-class time series software and econometrics tool, offering the kind of statistical accuracy provided by far more expensive statistical packages. NumXL integrates natively with Excel, adding scores of econometric functions, a rich set of shortcuts, and intuitive user interfaces to guide you through the entire process. (1) Summary Statistics - Gini, Hurst, KDE, etc. (2) Statistical Testing - Normality, Stationarity, cointegration, etc. (3) Brown's, Holt's & Winter's exponential smoothing (4) ARMA/ARIMA/SARIMA & X12ARIMA (5) ARMAX/SARIMA-X (6) GARCH, E-GARCH & GARCH-M
    Starting Price: $25/user/month
  • 2
    QuasarDB

    QuasarDB

    QuasarDB

    Quasar's brain is QuasarDB, a high-performance, distributed, column-oriented timeseries database management system designed from the ground up to deliver real-time on petascale use cases. Up to 20X less disk usage. Quasardb ingestion and compression capabilities are unmatched. Up to 10,000X faster feature extraction. QuasarDB can extract features in real-time from the raw data, thanks to the combination of a built-in map/reduce query engine, an aggregation engine that leverages SIMD from modern CPUs, and stochastic indexes that use virtually no disk space. The most cost-effective timeseries solution, thanks to its ultra-efficient resource usage, the capability to leverage object storage (S3), unique compression technology, and fair pricing model. Quasar runs everywhere, from 32-bit ARM devices to high-end Intel servers, from Edge Computing to the cloud or on-premises.
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