ClickHouse vs. VoltDB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
ClickHouse
Score 9.4 out of 10
N/A
ClickHouse is an open-source, column-oriented OLAP database system enabling real-time analytical reports using SQL queries. With linear scalability, it handles trillions of rows and petabytes of data. ClickHouse Cloud offers a scalable serverless solution for real-time analytics.N/A
VoltDB
Score 9.0 out of 10
N/A
VoltDB is an in-memory, scale-out NewSQL relational database from the company of the same name headquartered in Bedford, Massachusetts.N/A
Pricing
ClickHouseVoltDB
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
ClickHouseVoltDB
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsPay for what is used: It automatically scales up and down compute resources based on the user's workload It scales storage and compute separately It automatically scales unused resources down to zero so that users don’t pay for idle services
More Pricing Information
Community Pulse
ClickHouseVoltDB
Top Pros

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Top Cons

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Best Alternatives
ClickHouseVoltDB
Small Businesses
SingleStore
SingleStore
Score 9.8 out of 10
SingleStore
SingleStore
Score 9.8 out of 10
Medium-sized Companies
SingleStore
SingleStore
Score 9.8 out of 10
SingleStore
SingleStore
Score 9.8 out of 10
Enterprises
SingleStore
SingleStore
Score 9.8 out of 10
SingleStore
SingleStore
Score 9.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ClickHouseVoltDB
Likelihood to Recommend
9.0
(2 ratings)
-
(0 ratings)
User Testimonials
ClickHouseVoltDB
Likelihood to Recommend
ClickHouse, Inc.
The most important thing when using ClickHouse is to be clear that the scenarios in which you want to use it really are the right ones. Many users think that when a database is very fast for a specific use case, it can be extrapolated to other contexts (most of the time different) in which a previous analysis has not been carried out.
ClickHouse is an analytical database, as such, it should be used for such purposes, where the information is stored correctly, the data volumes are really large and the queries to be performed are not the typical traditional queries on several columns with multiple aggregations. ClickHouse is not the solution for this.
On the other hand, if your case is not one of the above, it is quite possible that ClickHouse can help you. Where ClickHouse shines is when you are looking for aggregation over a particular column in large volumes of data.
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VoltDB
No answers on this topic
Pros
ClickHouse, Inc.
  • Their MergeTree table engine provide impressive performance for data insert in bulk
  • Not only data insert but also the way MergeTree engine uses Primary Keys to sort the data and perform data skipping based on the granules its also their secret for ridiculous fast queries
  • Data compression its also great
  • They provide especial table engines that allow you to read data directly from other sources like S3
  • Since its written with C++ you have very granular data types and especial ones like enum, LowCardinality and etc, they save you a lot of storage since are stored as integer values
  • ClickHouse functions besides the ones that respect ANSI Standards are also awesome and useful
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VoltDB
No answers on this topic
Cons
ClickHouse, Inc.
  • Avro data manipulation
  • Kafka consistency
  • DDL operations errors (by replica configuration)
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VoltDB
No answers on this topic
Alternatives Considered
ClickHouse, Inc.
ClickHouse outperforms, especially in costs, since its compression/indexing engines are so smart, and even with very low computing power, you can already perform huge analyses of the data.
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VoltDB
No answers on this topic
Return on Investment
ClickHouse, Inc.
  • Queries that used to take more than 2 minutes now take less than 1 second
  • Possibility to analyze use cases in real time (before was impossible)
  • The applications are more complete and the users decisions are better
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VoltDB
No answers on this topic
ScreenShots